[Python-Dev] WPython 1.1 was released

[Cesare Di Mauro]

I've released WPython 1.1, which brings many optimizations and refactorings.

The project is hosted at Google Code: http://code.google.com/p/wpython2/ and
available as a Mercurial repository
http://code.google.com/p/wpython2/source/checkout?repo=wpython11 .

In the download section
http://code.google.com/p/wpython2/downloads/listthere are the slides
of the last italian PyCon where I have presented the
project and illustrated the changes.

You can also download the binaries for Windows (compressed in 7-Zip format:
http://www.7-zip.org/ ) and sources (for Unix users, Parser/Python.asdl and
configure files need to be chmod +x ).

Attached there are some benchmarks with the Unladen Swallow tests suite
(against Python 2.6.4).

Regards
Cesare
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?Report on Darwin iMac-di-Mirco.local 10.3.0 Darwin Kernel Version 10.3.0: Fri Feb 26 11:57:13 PST 2010; root:xnu-1504.3.12~1/RELEASE_X86_64 x86_64 i386
Total CPU cores: 2

### 2to3 ###
29.085133 -> 25.601404: 1.1361x faster

### bzr_startup ###
Min: 0.204419 -> 0.096856: 2.1105x faster
Avg: 0.213686 -> 0.113666: 1.8799x faster
Significant (t=71.767819)
Stddev: 0.01277 -> 0.00559: 2.2833x smaller
Timeline: http://tinyurl.com/y7qgndp

### call_method ###
Min: 0.644754 -> 0.622001: 1.0366x faster
Avg: 0.806862 -> 0.725472: 1.1122x faster
Significant (t=11.301638)
Stddev: 0.07300 -> 0.04951: 1.4744x smaller
Timeline: http://tinyurl.com/y3rfsnu

### call_method_slots ###
Min: 0.626559 -> 0.589525: 1.0628x faster
Avg: 0.761122 -> 0.680558: 1.1184x faster
Significant (t=11.706336)
Stddev: 0.06496 -> 0.05371: 1.2093x smaller
Timeline: http://tinyurl.com/y7kkg9m

### call_method_unknown ###
Min: 0.669814 -> 0.593711: 1.1282x faster
Avg: 0.883463 -> 0.746100: 1.1841x faster
Significant (t=8.601215)
Stddev: 0.13619 -> 0.14039: 1.0308x larger
Timeline: http://tinyurl.com/y6u5qut

### call_simple ###
Min: 0.486911 -> 0.435191: 1.1188x faster
Avg: 0.700634 -> 0.590928: 1.1857x faster
Significant (t=9.030587)
Stddev: 0.12218 -> 0.08491: 1.4390x smaller
Timeline: http://tinyurl.com/y2pnbfz

### float ###
Min: 0.126226 -> 0.097072: 1.3003x faster
Avg: 0.174486 -> 0.164656: 1.0597x faster
Significant (t=2.822244)
Stddev: 0.02922 -> 0.04668: 1.5976x larger
Timeline: http://tinyurl.com/y3o7gko

### hg_startup ###
Min: 0.057444 -> 0.042930: 1.3381x faster
Avg: 0.067769 -> 0.050515: 1.3416x faster
Significant (t=109.019677)
Stddev: 0.00293 -> 0.00199: 1.4687x smaller
Timeline: http://tinyurl.com/y5ss3l9

### html5lib ###
Min: 16.410586 -> 15.971322: 1.0275x faster
Avg: 16.579096 -> 16.119135: 1.0285x faster
Significant (t=5.554462)
Stddev: 0.13844 -> 0.12297: 1.1258x smaller
Timeline: http://tinyurl.com/yya44oj

### html5lib_warmup ###
Min: 17.765242 -> 15.582871: 1.1400x faster
Avg: 17.968972 -> 16.065290: 1.1185x faster
Significant (t=10.236030)
Stddev: 0.28980 -> 0.29826: 1.0292x larger
Timeline: http://tinyurl.com/y7osmkp

### iterative_count ###
Min: 0.156827 -> 0.084917: 1.8468x faster
Avg: 0.166389 -> 0.090218: 1.8443x faster
Significant (t=26.855602)
Stddev: 0.01766 -> 0.00950: 1.8586x smaller
Timeline: http://tinyurl.com/y2kz25f

### nbody ###
Min: 0.498760 -> 0.427710: 1.1661x faster
Avg: 0.515754 -> 0.445318: 1.1582x faster
Significant (t=22.964790)
Stddev: 0.01500 -> 0.01566: 1.0442x larger
Timeline: http://tinyurl.com/y7b92bm

### normal_startup ###
Min: 0.534059 -> 0.817747: 1.5312x slower
Avg: 0.547493 -> 0.838141: 1.5309x slower
Significant (t=-127.297104)
Stddev: 0.00799 -> 0.01403: 1.7567x larger
Timeline: http://tinyurl.com/y5tfkm3

### nqueens ###
Min: 0.583106 -> 0.573619: 1.0165x faster
Avg: 0.611182 -> 0.595222: 1.0268x faster
Significant (t=3.893252)
Stddev: 0.02367 -> 0.01674: 1.4142x smaller
Timeline: http://tinyurl.com/y79zhpz

### pickle ###
Min: 1.660705 -> 1.576223: 1.0536x faster
Avg: 1.757750 -> 1.672262: 1.0511x faster
Significant (t=9.284162)
Stddev: 0.04774 -> 0.04427: 1.0785x smaller
Timeline: http://tinyurl.com/y2f3eee

### pickle_dict ###
Min: 1.389026 -> 1.468648: 1.0573x slower
Avg: 1.479180 -> 1.551554: 1.0489x slower
Significant (t=-7.056610)
Stddev: 0.05664 -> 0.04529: 1.2507x smaller
Timeline: http://tinyurl.com/y2kl4no

### pickle_list ###
Min: 0.802236 -> 0.780976: 1.0272x faster
Avg: 0.843450 -> 0.822717: 1.0252x faster
Significant (t=3.353898)
Stddev: 0.02861 -> 0.03305: 1.1554x larger
Timeline: http://tinyurl.com/y2csxb9

### pybench ###
Min: 4906 -> 4344: 1.1294x faster
Avg: 5235 -> 4618: 1.1336x faster

### regex_compile ###
Min: 0.757385 -> 0.663902: 1.1408x faster
Avg: 0.807480 -> 0.698190: 1.1565x faster
Significant (t=20.304562)
Stddev: 0.03027 -> 0.02308: 1.3116x smaller
Timeline: http://tinyurl.com/y5vmu5y

### regex_effbot ###
Min: 0.102901 -> 0.095138: 1.0816x faster
Avg: 0.109344 -> 0.102460: 1.0672x faster
Significant (t=5.515715)
Stddev: 0.00574 -> 0.00670: 1.1678x larger
Timeline: http://tinyurl.com/yyhbuzh

### regex_v8 ###
Min: 0.123948 -> 0.106031: 1.1690x faster
Avg: 0.128534 -> 0.111830: 1.1494x faster
Significant (t=16.677634)
Stddev: 0.00436 -> 0.00558: 1.2787x larger
Timeline: http://tinyurl.com/y2zrssn

### richards ###
Min: 0.354665 -> 0.287113: 1.2353x faster
Avg: 0.381205 -> 0.306374: 1.2442x faster
Significant (t=23.417400)
Stddev: 0.01926 -> 0.01182: 1.6294x smaller
Timeline: http://tinyurl.com/yyzqb7v

### slowpickle ###
Min: 0.753230 -> 0.664495: 1.1335x faster
Avg: 0.801162 -> 0.708291: 1.1311x faster
Significant (t=17.994391)
Stddev: 0.02267 -> 0.02860: 1.2612x larger
Timeline: http://tinyurl.com/y4z6poh

### slowspitfire ###
Min: 0.868708 -> 0.872393: 1.0042x slower
Avg: 0.971014 -> 0.919428: 1.0561x faster
Significant (t=4.503573)
Stddev: 0.07780 -> 0.02253: 3.4529x smaller
Timeline: http://tinyurl.com/y64sn8p

### slowunpickle ###
Min: 0.337317 -> 0.299357: 1.1268x faster
Avg: 0.353311 -> 0.313929: 1.1254x faster
Significant (t=19.034627)
Stddev: 0.01066 -> 0.01002: 1.0629x smaller
Timeline: http://tinyurl.com/y3symau

### startup_nosite ###
Min: 0.317232 -> 0.224719: 1.4117x faster
Avg: 0.333151 -> 0.235118: 1.4170x faster
Significant (t=95.671333)
Stddev: 0.00851 -> 0.00571: 1.4919x smaller
Timeline: http://tinyurl.com/yyvr8m5

### threaded_count ###
Min: 0.194147 -> 0.116080: 1.6725x faster
Avg: 0.216559 -> 0.139140: 1.5564x faster
Significant (t=50.972602)
Stddev: 0.00765 -> 0.00753: 1.0162x smaller
Timeline: http://tinyurl.com/y38bz5h

### unpack_sequence ###
Min: 0.000093 -> 0.000082: 1.1337x faster
Avg: 0.000098 -> 0.000086: 1.1343x faster
Significant (t=25.434812)
Stddev: 0.00007 -> 0.00008: 1.1129x larger
Timeline: http://tinyurl.com/y5hv9ck

### unpickle ###
Min: 1.102754 -> 1.015811: 1.0856x faster
Avg: 1.138448 -> 1.052802: 1.0814x faster
Significant (t=18.018135)
Stddev: 0.02248 -> 0.02499: 1.1118x larger
Timeline: http://tinyurl.com/y49x4pk

### unpickle_list ###
Min: 0.990238 -> 0.881112: 1.1239x faster
Avg: 1.043900 -> 0.933968: 1.1177x faster
Significant (t=21.205782)
Stddev: 0.02977 -> 0.02139: 1.3913x smaller
Timeline: http://tinyurl.com/y49pm9p




Report on Linux cionci-desktop 2.6.27-17-generic #1 SMP Fri Mar 12 02:08:25 UTC 2010 x86_64 
Total CPU cores: 2

### 2to3 ###
27.729733 -> 25.521595: 1.0865x faster

### bzr_startup ###
Min: 0.072004 -> 0.068004: 1.0588x faster
Avg: 0.094326 -> 0.091926: 1.0261x faster
Not significant
Stddev: 0.00883 -> 0.00958: 1.0851x larger
Timeline: http://tinyurl.com/y5zc5ca

### call_method ###
Min: 0.630349 -> 0.566228: 1.1132x faster
Avg: 0.655913 -> 0.574280: 1.1421x faster
Significant (t=54.712328)
Stddev: 0.01462 -> 0.01096: 1.3344x smaller
Timeline: http://tinyurl.com/y6eg77c

### call_method_slots ###
Min: 0.635804 -> 0.511669: 1.2426x faster
Avg: 0.660014 -> 0.528936: 1.2478x faster
Significant (t=69.342882)
Stddev: 0.01859 -> 0.01380: 1.3470x smaller
Timeline: http://tinyurl.com/y7p9esb

### call_method_unknown ###
Min: 0.766309 -> 0.562713: 1.3618x faster
Avg: 0.774030 -> 0.585773: 1.3214x faster
Significant (t=90.713925)
Stddev: 0.00759 -> 0.02426: 3.1937x larger
Timeline: http://tinyurl.com/y6y6w7a

### call_simple ###
Min: 0.498106 -> 0.451661: 1.1028x faster
Avg: 0.502283 -> 0.460072: 1.0917x faster
Significant (t=62.530336)
Stddev: 0.00738 -> 0.00373: 1.9763x smaller
Timeline: http://tinyurl.com/y5gt8qa

### float ###
Min: 0.117934 -> 0.102821: 1.1470x faster
Avg: 0.129057 -> 0.117482: 1.0985x faster
Significant (t=12.577691)
Stddev: 0.00811 -> 0.01208: 1.4897x larger
Timeline: http://tinyurl.com/y2pc4wj

### hg_startup ###
Min: 0.012000 -> 0.012001: 1.0001x slower
Avg: 0.033594 -> 0.032258: 1.0414x faster
Significant (t=3.596547)
Stddev: 0.00597 -> 0.00578: 1.0320x smaller
Timeline: http://tinyurl.com/y449a8r

### html5lib ###
Min: 16.581036 -> 15.668980: 1.0582x faster
Avg: 16.823451 -> 15.946597: 1.0550x faster
Significant (t=4.738181)
Stddev: 0.22787 -> 0.34542: 1.5159x larger
Timeline: http://tinyurl.com/y3wx52k

### html5lib_warmup ###
Min: 16.436294 -> 15.664941: 1.0492x faster
Avg: 16.810495 -> 15.983748: 1.0517x faster
Significant (t=2.827967)
Stddev: 0.43953 -> 0.48388: 1.1009x larger
Timeline: http://tinyurl.com/y74vue8

### iterative_count ###
Min: 0.189088 -> 0.083317: 2.2695x faster
Avg: 0.191612 -> 0.088073: 2.1756x faster
Significant (t=65.385891)
Stddev: 0.00501 -> 0.01001: 1.9975x larger
Timeline: http://tinyurl.com/y65yy5c

### nbody ###
Min: 0.568523 -> 0.426052: 1.3344x faster
Avg: 0.580190 -> 0.428620: 1.3536x faster
Significant (t=72.626477)
Stddev: 0.01450 -> 0.00273: 5.3178x smaller
Timeline: http://tinyurl.com/y5hbwsy

### normal_startup ###
Min: 0.420100 -> 0.408876: 1.0275x faster
Avg: 0.475876 -> 0.489076: 1.0277x slower
Not significant
Stddev: 0.04082 -> 0.05543: 1.3579x larger
Timeline: http://tinyurl.com/y5jdfgq

### nqueens ###
Min: 0.585605 -> 0.577289: 1.0144x faster
Avg: 0.603038 -> 0.594904: 1.0137x faster
Significant (t=2.026307)
Stddev: 0.01851 -> 0.02152: 1.1629x larger
Timeline: http://tinyurl.com/yydzdhw

### pickle ###
Min: 1.592286 -> 1.584492: 1.0049x faster
Avg: 1.611001 -> 1.606726: 1.0027x faster
Not significant
Stddev: 0.01343 -> 0.03570: 2.6586x larger
Timeline: http://tinyurl.com/yyax7wc

### pickle_dict ###
Min: 1.316577 -> 1.298239: 1.0141x faster
Avg: 1.320249 -> 1.311228: 1.0069x faster
Significant (t=3.270732)
Stddev: 0.00367 -> 0.01915: 5.2196x larger
Timeline: http://tinyurl.com/y2smb8n

### pickle_list ###
Min: 0.734164 -> 0.727414: 1.0093x faster
Avg: 0.749225 -> 0.738023: 1.0152x faster
Significant (t=3.523434)
Stddev: 0.01996 -> 0.01035: 1.9291x smaller
Timeline: http://tinyurl.com/yybbuct

### pybench ###
Min: 5133 -> 4264: 1.2038x faster
Avg: 5370 -> 4448: 1.2073x faster

### regex_compile ###
Min: 0.783521 -> 0.706420: 1.1091x faster
Avg: 0.805385 -> 0.743189: 1.0837x faster
Significant (t=14.697890)
Stddev: 0.01900 -> 0.02312: 1.2168x larger
Timeline: http://tinyurl.com/y4ng9oz

### regex_effbot ###
Min: 0.106946 -> 0.108064: 1.0105x slower
Avg: 0.108937 -> 0.112714: 1.0347x slower
Significant (t=-4.189386)
Stddev: 0.00158 -> 0.00618: 3.9173x larger
Timeline: http://tinyurl.com/y2xs6yp

### regex_v8 ###
Min: 0.114305 -> 0.110961: 1.0301x faster
Avg: 0.119100 -> 0.113885: 1.0458x faster
Significant (t=6.210478)
Stddev: 0.00525 -> 0.00278: 1.8876x smaller
Timeline: http://tinyurl.com/y5q2nlh

### richards ###
Min: 0.376030 -> 0.309641: 1.2144x faster
Avg: 0.389031 -> 0.314998: 1.2350x faster
Significant (t=29.499544)
Stddev: 0.01745 -> 0.00325: 5.3669x smaller
Timeline: http://tinyurl.com/y5rh4av

### slowpickle ###
Min: 0.800369 -> 0.711095: 1.1255x faster
Avg: 0.824734 -> 0.735770: 1.1209x faster
Significant (t=19.434640)
Stddev: 0.02554 -> 0.01989: 1.2842x smaller
Timeline: http://tinyurl.com/y79lh35

### slowspitfire ###
Min: 0.813913 -> 0.761560: 1.0687x faster
Avg: 0.829754 -> 0.841118: 1.0137x slower
Not significant
Stddev: 0.01202 -> 0.05522: 4.5958x larger
Timeline: http://tinyurl.com/y4y6f4x

### slowunpickle ###
Min: 0.369238 -> 0.296829: 1.2439x faster
Avg: 0.384044 -> 0.300151: 1.2795x faster
Significant (t=32.788791)
Stddev: 0.01766 -> 0.00391: 4.5186x smaller
Timeline: http://tinyurl.com/y84c2bp

### startup_nosite ###
Min: 0.173227 -> 0.183291: 1.0581x slower
Avg: 0.234029 -> 0.235226: 1.0051x slower
Not significant
Stddev: 0.02222 -> 0.01951: 1.1389x smaller
Timeline: http://tinyurl.com/y2esfmd

### threaded_count ###
Min: 0.203453 -> 0.084667: 2.4030x faster
Avg: 0.263979 -> 0.105661: 2.4984x faster
Significant (t=26.001645)
Stddev: 0.03833 -> 0.01960: 1.9552x smaller
Timeline: http://tinyurl.com/y74qvbf

### unpack_sequence ###
Min: 0.000116 -> 0.000108: 1.0728x faster
Avg: 0.000121 -> 0.000118: 1.0261x faster
Significant (t=13.346440)
Stddev: 0.00004 -> 0.00004: 1.0544x larger
Timeline: http://tinyurl.com/y6rld7k

### unpickle ###
Min: 0.919231 -> 0.922668: 1.0037x slower
Avg: 0.936096 -> 0.947798: 1.0125x slower
Significant (t=-3.379601)
Stddev: 0.01505 -> 0.01931: 1.2834x larger
Timeline: http://tinyurl.com/y3ymn85

### unpickle_list ###
Min: 0.690399 -> 0.690025: 1.0005x faster
Avg: 0.729519 -> 0.698789: 1.0440x faster
Significant (t=11.660568)
Stddev: 0.01430 -> 0.01195: 1.1965x smaller
Timeline: http://tinyurl.com/y38lfuh




Report on Linux sauron 2.6.33-ARCH #1 SMP PREEMPT Sun Apr 4 10:27:30 CEST 2010 x86_64 AMD Athlon(tm) 64 X2 Dual Core Processor 5200+
Total CPU cores: 2

### 2to3 ###
29.598071 -> 23.691789: 1.2493x faster

### bzr_startup ###
Min: 0.083328 -> 0.076661: 1.0870x faster
Avg: 0.100727 -> 0.094061: 1.0709x faster
Significant (t=5.464159)
Stddev: 0.00863 -> 0.00863: 1.0000x larger
Timeline: http://tinyurl.com/y6mng7k

### call_method ###
Min: 0.796609 -> 0.538237: 1.4800x faster
Avg: 0.816184 -> 0.547101: 1.4918x faster
Significant (t=92.212665)
Stddev: 0.03177 -> 0.01636: 1.9417x smaller
Timeline: http://tinyurl.com/yygle37

### call_method_slots ###
Min: 0.780177 -> 0.535730: 1.4563x faster
Avg: 0.797951 -> 0.544117: 1.4665x faster
Significant (t=104.627536)
Stddev: 0.02414 -> 0.01733: 1.3926x smaller
Timeline: http://tinyurl.com/y76hawm

### call_method_unknown ###
Min: 0.808852 -> 0.610603: 1.3247x faster
Avg: 0.821008 -> 0.614395: 1.3363x faster
Significant (t=109.946891)
Stddev: 0.02158 -> 0.00800: 2.6994x smaller
Timeline: http://tinyurl.com/y43e5fl

### call_simple ###
Min: 0.602984 -> 0.484837: 1.2437x faster
Avg: 0.627628 -> 0.508925: 1.2332x faster
Significant (t=56.792486)
Stddev: 0.02009 -> 0.01587: 1.2658x smaller
Timeline: http://tinyurl.com/yyrerh8

### float ###
Min: 0.145489 -> 0.120753: 1.2048x faster
Avg: 0.157275 -> 0.131557: 1.1955x faster
Significant (t=29.200486)
Stddev: 0.01020 -> 0.00948: 1.0763x smaller
Timeline: http://tinyurl.com/y5h4frq

### hg_startup ###
Min: 0.013332 -> 0.016666: 1.2501x slower
Avg: 0.030811 -> 0.033631: 1.0915x slower
Significant (t=-7.625262)
Stddev: 0.00610 -> 0.00558: 1.0933x smaller
Timeline: http://tinyurl.com/y7c2vbv

### html5lib ###
Min: 16.772239 -> 13.632444: 1.2303x faster
Avg: 17.400199 -> 13.809100: 1.2601x faster
Significant (t=19.710438)
Stddev: 0.35648 -> 0.19722: 1.8075x smaller
Timeline: http://tinyurl.com/y52q84h

### html5lib_warmup ###
Min: 17.155307 -> 13.597860: 1.2616x faster
Avg: 17.758442 -> 14.069391: 1.2622x faster
Significant (t=12.638530)
Stddev: 0.58006 -> 0.29922: 1.9386x smaller
Timeline: http://tinyurl.com/y5ragx4

### iterative_count ###
Min: 0.272019 -> 0.144380: 1.8841x faster
Avg: 0.321844 -> 0.155405: 2.0710x faster
Significant (t=23.655896)
Stddev: 0.04319 -> 0.02469: 1.7493x smaller
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.46044492722&chco=FF0000,0000FF&chdl=/usr/bin/python|../wpython11/python&chds=0,1.46044492722&chd=t:0.28,0.28,0.28,0.28,0.33,0.33,0.31,0.31,0.29,0.3,0.32,0.35,0.29,0.3,0.29,0.28,0.27,0.27,0.27,0.29,0.32,0.35,0.31,0.28,0.27,0.3,0.35,0.3,0.29,0.28,0.3,0.29,0.31,0.31,0.33,0.32,0.34,0.41,0.34,0.33,0.33,0.34,0.34,0.36,0.4,0.43,0.46,0.41,0.38,0.35|0.3,0.15,0.15,0.15,0.17,0.15,0.15,0.15,0.16,0.15,0.14,0.14,0.2,0.16,0.17,0.19,0.16,0.16,0.16,0.2,0.14,0.14,0.14,0.14,0.14,0.14,0.14,0.14,0.14,0.14,0.14,0.15,0.16,0.16,0.14,0.14,0.14,0.14,0.14,0.14,0.14,0.14,0.14,0.15,0.14,0.14,0.15,0.14,0.17,0.15&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=iterative_count

### nbody ###
Min: 0.639303 -> 0.496505: 1.2876x faster
Avg: 0.663221 -> 0.507123: 1.3078x faster
Significant (t=42.102614)
Stddev: 0.01815 -> 0.01892: 1.0424x larger
Timeline: http://tinyurl.com/y64lglq

### normal_startup ###
Min: 0.374472 -> 0.461435: 1.2322x slower
Avg: 0.413358 -> 0.515210: 1.2464x slower
Significant (t=-17.591195)
Stddev: 0.02972 -> 0.02815: 1.0558x smaller
Timeline: http://tinyurl.com/y7qj6zz

### nqueens ###
Min: 0.698012 -> 0.507417: 1.3756x faster
Avg: 0.748165 -> 0.559723: 1.3367x faster
Significant (t=21.603119)
Stddev: 0.03138 -> 0.05310: 1.6921x larger
Timeline: http://tinyurl.com/y3xv95e

### pickle ###
Min: 1.584518 -> 1.526627: 1.0379x faster
Avg: 1.673835 -> 1.658376: 1.0093x faster
Not significant
Stddev: 0.06500 -> 0.07568: 1.1644x larger
Timeline: http://tinyurl.com/y4224pp

### pickle_dict ###
Min: 1.568636 -> 1.498363: 1.0469x faster
Avg: 1.618752 -> 1.575946: 1.0272x faster
Significant (t=4.120055)
Stddev: 0.04758 -> 0.05598: 1.1767x larger
Timeline: http://tinyurl.com/yyzl6b5

### pickle_list ###
Min: 0.771403 -> 0.752089: 1.0257x faster
Avg: 0.797367 -> 0.778438: 1.0243x faster
Significant (t=3.157783)
Stddev: 0.02620 -> 0.03332: 1.2721x larger
Timeline: http://tinyurl.com/yyp5cjx

### pybench ###
Min: 5994 -> 4470: 1.3409x faster
Avg: 6250 -> 4781: 1.3073x faster

### regex_compile ###
Min: 0.838116 -> 0.664657: 1.2610x faster
Avg: 0.846488 -> 0.691629: 1.2239x faster
Significant (t=31.710076)
Stddev: 0.01236 -> 0.03224: 2.6085x larger
Timeline: http://tinyurl.com/y65ceh8

### regex_effbot ###
Min: 0.169898 -> 0.152830: 1.1117x faster
Avg: 0.179772 -> 0.158301: 1.1356x faster
Significant (t=13.100118)
Stddev: 0.00746 -> 0.00887: 1.1895x larger
Timeline: http://tinyurl.com/yyazgxh

### regex_v8 ###
Min: 0.152255 -> 0.134914: 1.1285x faster
Avg: 0.159778 -> 0.144822: 1.1033x faster
Significant (t=10.310186)
Stddev: 0.00598 -> 0.00834: 1.3944x larger
Timeline: http://tinyurl.com/y4znhxx

### richards ###
Min: 0.361250 -> 0.281802: 1.2819x faster
Avg: 0.384307 -> 0.294562: 1.3047x faster
Significant (t=27.621845)
Stddev: 0.02043 -> 0.01052: 1.9419x smaller
Timeline: http://tinyurl.com/y3hx8w2

### slowpickle ###
Min: 0.826115 -> 0.610384: 1.3534x faster
Avg: 0.872314 -> 0.627799: 1.3895x faster
Significant (t=43.041072)
Stddev: 0.03384 -> 0.02165: 1.5626x smaller
Timeline: http://tinyurl.com/y4dr42c

### slowspitfire ###
Min: 0.820168 -> 0.697804: 1.1754x faster
Avg: 0.840062 -> 0.736274: 1.1410x faster
Significant (t=20.687150)
Stddev: 0.02540 -> 0.02477: 1.0256x smaller
Timeline: http://tinyurl.com/y6cn2c7

### slowunpickle ###
Min: 0.423866 -> 0.306436: 1.3832x faster
Avg: 0.431624 -> 0.308273: 1.4001x faster
Significant (t=103.485543)
Stddev: 0.00781 -> 0.00318: 2.4556x smaller
Timeline: http://tinyurl.com/y7p5ugb

### startup_nosite ###
Min: 0.182274 -> 0.166099: 1.0974x faster
Avg: 0.201290 -> 0.185015: 1.0880x faster
Significant (t=8.405736)
Stddev: 0.01255 -> 0.01474: 1.1748x larger
Timeline: http://tinyurl.com/y26jqjm

### threaded_count ###
Min: 0.292005 -> 0.174754: 1.6710x faster
Avg: 0.345331 -> 0.191805: 1.8004x faster
Significant (t=48.856578)
Stddev: 0.02041 -> 0.00877: 2.3267x smaller
Timeline: http://tinyurl.com/y6dl2e6

### unpack_sequence ###
Min: 0.000106 -> 0.000091: 1.1684x faster
Avg: 0.000114 -> 0.000099: 1.1433x faster
Significant (t=21.367174)
Stddev: 0.00009 -> 0.00012: 1.2958x larger
Timeline: http://tinyurl.com/y2sujno

### unpickle ###
Min: 0.908351 -> 0.803020: 1.1312x faster
Avg: 0.984448 -> 0.856525: 1.1494x faster
Significant (t=19.812585)
Stddev: 0.03248 -> 0.03209: 1.0122x smaller
Timeline: http://tinyurl.com/y4zmlaj

### unpickle_list ###
Min: 0.754476 -> 0.719254: 1.0490x faster
Avg: 0.802729 -> 0.759628: 1.0567x faster
Significant (t=6.699951)
Stddev: 0.03771 -> 0.02544: 1.4821x smaller
Timeline: http://tinyurl.com/y6tv2us




Report on Linux raffaello 2.6.31.12-0.2-desktop #1 SMP PREEMPT 2010-03-16 21:25:39 +0100 i686 athlon
Total CPU cores: 1

### 2to3 ###
43.432397 -> 43.283420: 1.0034x faster

### bzr_startup ###
Min: 0.140979 -> 0.144978: 1.0284x slower
Avg: 0.159606 -> 0.157596: 1.0128x faster
Significant (t=2.709326)
Stddev: 0.00578 -> 0.00465: 1.2418x smaller
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.175973&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0,1.175973&chd=t:0.16,0.16,0.16,0.16,0.16,0.16,0.15,0.18,0.16,0.16,0.17,0.17,0.17,0.16,0.16,0.17,0.16,0.16,0.16,0.15,0.16,0.16,0.16,0.16,0.16,0.16,0.17,0.15,0.16,0.16,0.15,0.16,0.16,0.15,0.16,0.16,0.16,0.16,0.16,0.17,0.16,0.15,0.16,0.16,0.16,0.16,0.15,0.16,0.15,0.16,0.16,0.16,0.17,0.16,0.16,0.16,0.16,0.15,0.16,0.16,0.15,0.16,0.17,0.16,0.15,0.15,0.14,0.16,0.16,0.16,0.16,0.17,0.16,0.15,0.16,0.16,0.17,0.16,0.16,0.16,0.15,0.15,0.17,0.16,0.16,0.16,0.15,0.15,0.16,0.14,0.15,0.17,0.16,0.15,0.16,0.16,0.15,0.16,0.15,0.15|0.16,0.15,0.15,0.15,0.16,0.15,0.16,0.16,0.16,0.15,0.15,0.15,0.16,0.15,0.16,0.15,0.16,0.15,0.16,0.16,0.16,0.16,0.16,0.16,0.16,0.17,0.15,0.15,0.16,0.16,0.16,0.15,0.16,0.16,0.16,0.16,0.16,0.16,0.16,0.16,0.15,0.16,0.16,0.15,0.16,0.16,0.16,0.16,0.16,0.16,0.16,0.17,0.16,0.16,0.16,0.16,0.16,0.16,0.15,0.16,0.16,0.15,0.15,0.15,0.16,0.16,0.15,0.15,0.16,0.16,0.15,0.15,0.14,0.16,0.17,0.16,0.15,0.15,0.16,0.16,0.16,0.16,0.15,0.16,0.16,0.16,0.15,0.15,0.16,0.16,0.16,0.16,0.15,0.15,0.15,0.16,0.16,0.16,0.16,0.17&chxl=0:|1|20|40|60|80|100|2:||Iteration|3:||Time+(secs)&chtt=bzr_startup

### call_method ###
Min: 1.158909 -> 1.059187: 1.0941x faster
Avg: 1.161172 -> 1.113055: 1.0432x faster
Significant (t=22.522125)
Stddev: 0.00131 -> 0.02613: 19.9944x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0.07623100281,2.1763420105&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0.07623100281,2.1763420105&chd=t:1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.17,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.17,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16,1.16|1.13,1.16,1.13,1.11,1.11,1.14,1.16,1.08,1.1,1.14,1.14,1.14,1.1,1.13,1.15,1.15,1.13,1.14,1.17,1.11,1.1,1.11,1.14,1.11,1.13,1.11,1.14,1.11,1.11,1.15,1.13,1.18,1.16,1.1,1.1,1.1,1.12,1.08,1.11,1.09,1.09,1.09,1.12,1.16,1.08,1.1,1.08,1.12,1.13,1.15,1.14,1.16,1.13,1.14,1.16,1.09,1.14,1.15,1.13,1.11,1.1,1.09,1.1,1.1,1.11,1.11,1.11,1.14,1.15,1.12,1.13,1.14,1.16,1.14,1.09&chxl=0:|1|15|30|45|60|75|2:||Iteration|3:||Time+(secs)&chtt=call_method

### call_method_slots ###
Min: 1.149059 -> 1.078626: 1.0653x faster
Avg: 1.151797 -> 1.143283: 1.0074x faster
Significant (t=3.330294)
Stddev: 0.00124 -> 0.03128: 25.1750x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0.09424901009,2.22079586983&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0.09424901009,2.22079586983&chd=t:1.15,1.16,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.16,1.16,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15,1.15|1.16,1.13,1.2,1.16,1.16,1.15,1.17,1.13,1.14,1.13,1.16,1.19,1.13,1.17,1.17,1.14,1.11,1.14,1.19,1.2,1.17,1.22,1.2,1.14,1.14,1.15,1.21,1.16,1.19,1.1,1.15,1.13,1.15,1.13,1.09,1.18,1.18,1.14,1.13,1.13,1.12,1.15,1.18,1.17,1.19,1.21,1.19,1.19,1.22,1.18,1.18,1.17,1.16,1.16,1.18,1.18,1.16,1.16,1.16,1.16,1.17,1.16,1.14,1.13,1.12,1.14,1.15,1.19,1.14,1.15,1.15,1.15,1.15,1.13,1.1&chxl=0:|1|15|30|45|60|75|2:||Iteration|3:||Time+(secs)&chtt=call_method_slots

### call_method_unknown ###
Min: 1.170848 -> 1.155544: 1.0132x faster
Avg: 1.180379 -> 1.201501: 1.0179x slower
Significant (t=-9.479015)
Stddev: 0.01125 -> 0.02487: 2.2110x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0.17149400711,2.26189613342&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0.17149400711,2.26189613342&chd=t:1.19,1.2,1.21,1.19,1.2,1.2,1.18,1.17,1.18,1.17,1.17,1.19,1.21,1.2,1.17,1.17,1.17,1.17,1.19,1.19,1.17,1.18,1.17,1.18,1.17,1.2,1.17,1.22,1.2,1.19,1.2,1.19,1.2,1.19,1.19,1.21,1.2,1.19,1.2,1.2,1.19,1.19,1.19,1.19,1.19,1.2,1.21,1.19,1.17,1.19,1.18,1.17,1.19,1.17,1.17,1.19,1.17,1.18,1.17,1.17,1.17,1.17,1.18,1.17,1.19,1.17,1.18,1.18,1.17,1.18,1.17,1.17,1.17,1.19,1.2|1.26,1.24,1.21,1.2,1.22,1.23,1.22,1.21,1.22,1.24,1.23,1.2,1.21,1.25,1.23,1.2,1.19,1.19,1.2,1.19,1.2,1.24,1.2,1.19,1.2,1.21,1.24,1.22,1.24,1.19,1.18,1.2,1.21,1.18,1.2,1.21,1.2,1.17,1.19,1.19,1.22,1.2,1.2,1.19,1.2,1.2,1.18,1.2,1.23,1.24,1.25,1.23,1.21,1.19,1.2,1.24,1.24,1.21,1.23,1.24,1.23,1.24,1.18,1.2,1.19,1.21,1.23,1.24,1.25,1.24,1.23,1.24,1.23,1.2,1.2&chxl=0:|1|15|30|45|60|75|2:||Iteration|3:||Time+(secs)&chtt=call_method_unknown

### call_simple ###
Min: 0.905800 -> 0.908177: 1.0026x slower
Avg: 0.911217 -> 0.942381: 1.0342x slower
Significant (t=-18.575059)
Stddev: 0.00579 -> 0.01972: 3.4054x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.98918581009&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0,1.98918581009&chd=t:0.91,0.91,0.92,0.91,0.92,0.91,0.91,0.91,0.91,0.92,0.92,0.92,0.91,0.93,0.91,0.91,0.91,0.92,0.92,0.91,0.91,0.91,0.91,0.91,0.91,0.91,0.93,0.91,0.92,0.93,0.92,0.91,0.92,0.91,0.91,0.91,0.91,0.91,0.91,0.91,0.91,0.91,0.91,0.92,0.93,0.91,0.93,0.91,0.91,0.91,0.91,0.91,0.91,0.91,0.92,0.92,0.91,0.93,0.92,0.91,0.91,0.91,0.91,0.91,0.91,0.92,0.93,0.93,0.93,0.91,0.91,0.91,0.91,0.91,0.91|0.99,0.95,0.93,0.95,0.95,0.94,0.94,0.96,0.93,0.97,0.96,0.95,0.97,0.94,0.96,0.95,0.95,0.94,0.97,0.96,0.94,0.96,0.98,0.93,0.94,0.96,0.97,0.94,0.97,0.97,0.95,0.95,0.94,0.96,0.96,0.93,0.92,0.95,0.96,0.97,0.92,0.95,0.96,0.94,0.91,0.96,0.97,0.95,0.94,0.95,0.92,0.95,0.95,0.97,0.93,0.94,0.95,0.96,0.97,0.94,0.96,0.96,0.95,0.94,0.99,0.99,0.97,0.94,0.97,0.97,0.96,0.95,0.96,0.98,0.95&chxl=0:|1|15|30|45|60|75|2:||Iteration|3:||Time+(secs)&chtt=call_simple

### float ###
Min: 0.222201 -> 0.224009: 1.0081x slower
Avg: 0.232227 -> 0.239783: 1.0325x slower
Significant (t=-9.550820)
Stddev: 0.00855 -> 0.00913: 1.0688x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.26341700554&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0,1.26341700554&chd=t:0.24,0.24,0.25,0.25,0.24,0.24,0.25,0.24,0.25,0.24,0.24,0.24,0.24,0.23,0.25,0.24,0.25,0.23,0.25,0.23,0.24,0.25,0.24,0.23,0.24,0.25,0.25,0.25,0.24,0.25,0.24,0.24,0.23,0.25,0.24,0.25,0.23,0.25,0.24,0.24,0.25,0.25,0.23,0.24,0.24,0.24,0.25,0.24,0.24,0.24,0.25,0.23,0.25,0.24,0.24,0.23,0.25,0.23,0.24,0.25,0.24,0.23,0.24,0.24,0.24,0.25,0.24,0.25,0.24,0.25,0.24,0.25,0.24,0.25,0.23,0.25,0.24,0.25,0.25,0.25,0.23,0.24,0.25,0.24|0.25,0.25,0.26,0.26,0.24,0.25,0.26,0.25,0.26,0.25,0.25,0.25,0.25,0.24,0.26,0.25,0.25,0.24,0.25,0.24,0.25,0.26,0.25,0.24,0.25,0.25,0.26,0.26,0.25,0.25,0.25,0.26,0.24,0.26,0.25,0.25,0.25,0.26,0.25,0.26,0.26,0.25,0.23,0.24,0.25,0.24,0.25,0.24,0.25,0.24,0.24,0.23,0.25,0.24,0.26,0.24,0.25,0.25,0.25,0.25,0.25,0.23,0.25,0.25,0.24,0.25,0.25,0.25,0.25,0.26,0.24,0.26,0.25,0.25,0.24,0.26,0.24,0.25,0.26,0.25,0.24,0.25,0.25,0.25&chxl=0:|1|17|34|51|68|84|2:||Iteration|3:||Time+(secs)&chtt=float

### hg_startup ###
Min: 0.045993 -> 0.048992: 1.0652x slower
Avg: 0.057321 -> 0.056441: 1.0156x faster
Significant (t=4.488042)
Stddev: 0.00319 -> 0.00301: 1.0620x smaller
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.06599&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0,1.06599&chd=t:0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06|0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.07,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.05,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06,0.06&chxl=0:|1|20|40|60|80|100|2:||Iteration|3:||Time+(secs)&chtt=hg_startup

### html5lib ###
Min: 26.507970 -> 25.616106: 1.0348x faster
Avg: 26.597557 -> 25.732688: 1.0336x faster
Significant (t=9.827764)
Stddev: 0.09216 -> 0.17386: 1.8865x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,24.616106,27.70594&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=24.616106,27.70594&chd=t:26.51,26.71,26.54,26.69,26.55|25.68,25.62,25.68,26.04,25.65&chxl=0:|1|2|3|4|5|2:||Iteration|3:||Time+(secs)&chtt=html5lib

### html5lib_warmup ###
Min: 25.655162 -> 25.466228: 1.0074x faster
Avg: 26.110781 -> 25.898441: 1.0082x faster
Not significant
Stddev: 0.26144 -> 0.25576: 1.0222x smaller
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,24.4662280083,27.2955319881&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=24.4662280083,27.2955319881&chd=t:25.66,26.3,26.27,26.18,26.16|25.47,26.04,26.12,25.89,25.97&chxl=0:|1|2|3|4|5|2:||Iteration|3:||Time+(secs)&chtt=html5lib_warmup

### iterative_count ###
Min: 0.369361 -> 0.223053: 1.6559x faster
Avg: 0.371506 -> 0.240774: 1.5430x faster
Significant (t=72.130793)
Stddev: 0.00198 -> 0.01266: 6.3935x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.38339400291&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0,1.38339400291&chd=t:0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.38,0.37|0.25,0.25,0.23,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.23,0.22,0.23,0.23,0.23,0.23,0.24,0.25,0.25,0.25,0.24,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.24,0.25,0.25,0.25,0.24,0.25,0.25,0.25,0.24,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.24,0.25&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=iterative_count

### nbody ###
Min: 0.935157 -> 0.931795: 1.0036x faster
Avg: 0.946445 -> 0.943684: 1.0029x faster
Significant (t=2.384189)
Stddev: 0.00409 -> 0.00709: 1.7332x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.95390200615&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0,1.95390200615&chd=t:0.94,0.95,0.94,0.95,0.95,0.95,0.95,0.95,0.95,0.95,0.95,0.95,0.95,0.95,0.95,0.95,0.95,0.94,0.95,0.94,0.95,0.95,0.95,0.95,0.95,0.95,0.95,0.95,0.95,0.94,0.95,0.95,0.95,0.95,0.94,0.94,0.94,0.94,0.94,0.94,0.94,0.94,0.95,0.94,0.95,0.94,0.95,0.95,0.95,0.95|0.94,0.93,0.94,0.95,0.94,0.95,0.94,0.93,0.93,0.94,0.95,0.93,0.94,0.94,0.95,0.95,0.95,0.95,0.95,0.95,0.95,0.95,0.94,0.94,0.93,0.93,0.95,0.94,0.93,0.94,0.94,0.94,0.95,0.95,0.95,0.94,0.94,0.95,0.93,0.94,0.94,0.95,0.95,0.95,0.93,0.95,0.95,0.94,0.95,0.94&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=nbody

### normal_startup ###
Min: 0.685616 -> 0.676500: 1.0135x faster
Avg: 0.686916 -> 0.678582: 1.0123x faster
Significant (t=31.273550)
Stddev: 0.00078 -> 0.00171: 2.1897x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.69004797935&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0,1.69004797935&chd=t:0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69,0.69|0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68,0.68&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=normal_startup

### nqueens ###
Min: 0.980723 -> 0.947436: 1.0351x faster
Avg: 0.989169 -> 0.954421: 1.0364x faster
Significant (t=46.434070)
Stddev: 0.00394 -> 0.00353: 1.1181x smaller
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.99711680412&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0,1.99711680412&chd=t:0.99,0.99,0.99,0.99,0.99,0.99,1.0,0.99,0.99,0.99,0.99,0.99,1.0,0.99,0.98,0.99,0.99,0.99,0.99,0.99,0.98,0.98,0.98,0.98,0.99,0.99,0.99,0.99,0.99,0.99,0.99,0.99,0.99,0.99,0.98,0.98,0.99,0.99,0.99,0.99,0.99,0.99,0.99,0.99,0.99,0.99,0.98,0.99,0.99,0.99|0.95,0.96,0.95,0.96,0.95,0.96,0.95,0.96,0.95,0.96,0.96,0.95,0.95,0.95,0.95,0.95,0.96,0.95,0.96,0.96,0.95,0.95,0.95,0.95,0.96,0.96,0.96,0.95,0.95,0.95,0.95,0.96,0.96,0.95,0.96,0.96,0.95,0.96,0.95,0.95,0.95,0.96,0.96,0.96,0.95,0.96,0.95,0.96,0.95,0.96&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=nqueens

### pickle ###
Min: 3.346728 -> 3.398232: 1.0154x slower
Avg: 3.367508 -> 3.415437: 1.0142x slower
Significant (t=-28.797501)
Stddev: 0.00840 -> 0.00824: 1.0186x smaller
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,2.34672808647,4.43019509315&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=2.34672808647,4.43019509315&chd=t:3.37,3.37,3.38,3.37,3.36,3.38,3.36,3.35,3.37,3.37,3.37,3.36,3.38,3.36,3.38,3.37,3.36,3.37,3.37,3.37,3.35,3.37,3.36,3.38,3.37,3.37,3.38,3.37,3.36,3.37,3.36,3.36,3.37,3.36,3.37,3.36,3.37,3.36,3.38,3.38,3.36,3.37,3.36,3.37,3.37,3.36,3.37,3.39,3.38,3.36|3.4,3.4,3.41,3.43,3.41,3.42,3.41,3.42,3.41,3.41,3.41,3.41,3.41,3.4,3.41,3.43,3.42,3.41,3.41,3.41,3.41,3.42,3.41,3.41,3.4,3.41,3.42,3.42,3.43,3.43,3.42,3.42,3.41,3.42,3.41,3.41,3.42,3.42,3.43,3.41,3.43,3.41,3.42,3.42,3.43,3.42,3.42,3.41,3.41,3.41&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=pickle

### pickle_dict ###
Min: 3.395274 -> 3.338732: 1.0169x faster
Avg: 3.513604 -> 3.359646: 1.0458x faster
Significant (t=16.225759)
Stddev: 0.06605 -> 0.01182: 5.5896x smaller
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,2.33873200417,4.60737299919&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=2.33873200417,4.60737299919&chd=t:3.49,3.56,3.59,3.57,3.51,3.46,3.59,3.55,3.4,3.52,3.49,3.59,3.57,3.43,3.55,3.6,3.5,3.43,3.43,3.56,3.42,3.44,3.52,3.53,3.6,3.6,3.41,3.46,3.4,3.46,3.4,3.54,3.57,3.54,3.55,3.6,3.58,3.48,3.48,3.42,3.6,3.57,3.4,3.61,3.5,3.51,3.45,3.54,3.54,3.57|3.36,3.35,3.34,3.36,3.38,3.37,3.36,3.35,3.35,3.35,3.36,3.36,3.34,3.36,3.37,3.36,3.36,3.35,3.38,3.34,3.36,3.37,3.39,3.38,3.35,3.36,3.35,3.35,3.36,3.36,3.36,3.34,3.37,3.36,3.38,3.37,3.38,3.35,3.35,3.36,3.36,3.38,3.37,3.34,3.35,3.35,3.35,3.36,3.35,3.36&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=pickle_dict

### pickle_list ###
Min: 1.720434 -> 1.708855: 1.0068x faster
Avg: 1.762757 -> 1.719942: 1.0249x faster
Significant (t=11.198322)
Stddev: 0.02604 -> 0.00727: 3.5808x smaller
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0.70885491371,2.81176018715&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0.70885491371,2.81176018715&chd=t:1.77,1.77,1.8,1.79,1.76,1.75,1.77,1.8,1.8,1.78,1.74,1.79,1.81,1.77,1.74,1.76,1.8,1.79,1.78,1.73,1.78,1.8,1.77,1.76,1.79,1.78,1.75,1.72,1.72,1.72,1.72,1.76,1.74,1.79,1.8,1.75,1.74,1.72,1.75,1.73,1.73,1.79,1.73,1.74,1.75,1.77,1.74,1.76,1.77,1.78|1.72,1.71,1.71,1.71,1.72,1.73,1.71,1.71,1.71,1.71,1.73,1.72,1.71,1.71,1.71,1.73,1.73,1.73,1.74,1.73,1.72,1.71,1.71,1.72,1.71,1.73,1.72,1.71,1.72,1.72,1.73,1.73,1.71,1.72,1.72,1.73,1.72,1.72,1.73,1.73,1.73,1.73,1.73,1.73,1.71,1.71,1.72,1.72,1.72,1.72&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=pickle_list

### pybench ###
Min: 8937 -> 8141: 1.0978x faster
Avg: 9069 -> 8266: 1.0971x faster

### regex_compile ###
Min: 1.297481 -> 1.230614: 1.0543x faster
Avg: 1.303290 -> 1.235283: 1.0551x faster
Significant (t=120.657667)
Stddev: 0.00304 -> 0.00257: 1.1834x smaller
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0.23061418533,2.31539511681&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0.23061418533,2.31539511681&chd=t:1.31,1.3,1.3,1.3,1.3,1.3,1.3,1.3,1.3,1.3,1.31,1.3,1.31,1.3,1.3,1.3,1.31,1.31,1.3,1.31,1.3,1.3,1.3,1.3,1.3,1.31,1.3,1.3,1.31,1.3,1.3,1.3,1.3,1.3,1.3,1.3,1.3,1.3,1.3,1.3,1.3,1.3,1.31,1.3,1.3,1.3,1.3,1.3,1.3,1.32|1.23,1.24,1.24,1.23,1.24,1.23,1.24,1.24,1.24,1.23,1.23,1.23,1.24,1.23,1.23,1.23,1.24,1.24,1.24,1.24,1.24,1.24,1.24,1.25,1.24,1.24,1.24,1.24,1.24,1.23,1.23,1.23,1.23,1.23,1.23,1.23,1.24,1.24,1.23,1.23,1.24,1.23,1.24,1.23,1.23,1.23,1.24,1.23,1.23,1.23&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=regex_compile

### regex_effbot ###
Min: 0.238711 -> 0.234200: 1.0193x faster
Avg: 0.239331 -> 0.236123: 1.0136x faster
Significant (t=19.737486)
Stddev: 0.00050 -> 0.00104: 2.0828x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.24141407013&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0,1.24141407013&chd=t:0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24|0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.24&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=regex_effbot

### regex_v8 ###
Min: 0.229685 -> 0.217755: 1.0548x faster
Avg: 0.232979 -> 0.219208: 1.0628x faster
Significant (t=36.278688)
Stddev: 0.00217 -> 0.00157: 1.3824x smaller
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.23589801788&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0,1.23589801788&chd=t:0.23,0.24,0.23,0.24,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.24,0.23,0.23,0.23,0.24,0.23,0.24,0.23,0.23,0.23,0.24,0.23,0.24,0.23,0.23,0.23,0.24,0.23,0.23,0.23,0.24,0.23,0.24,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.24,0.23,0.24|0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.23,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22,0.22&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=regex_v8

### richards ###
Min: 0.543314 -> 0.504176: 1.0776x faster
Avg: 0.550139 -> 0.542886: 1.0134x faster
Significant (t=3.118548)
Stddev: 0.00397 -> 0.01596: 4.0203x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.57444500923&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0,1.57444500923&chd=t:0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.56,0.55,0.56,0.55,0.55,0.54,0.54,0.55,0.55,0.55,0.54,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.56,0.56,0.56,0.56,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55|0.53,0.55,0.55,0.55,0.55,0.54,0.53,0.53,0.55,0.54,0.55,0.55,0.56,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.55,0.54,0.56,0.53,0.51,0.56,0.51,0.56,0.52,0.56,0.51,0.54,0.57,0.53,0.57,0.52,0.57,0.54,0.54,0.53,0.53,0.52,0.54,0.5&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=richards

### slowpickle ###
Min: 1.453602 -> 1.361336: 1.0678x faster
Avg: 1.459776 -> 1.370334: 1.0653x faster
Significant (t=102.747004)
Stddev: 0.00249 -> 0.00563: 2.2567x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0.36133599281,2.46742391586&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0.36133599281,2.46742391586&chd=t:1.46,1.46,1.46,1.46,1.46,1.45,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.45,1.47,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46,1.46|1.37,1.38,1.37,1.36,1.38,1.38,1.38,1.37,1.37,1.37,1.37,1.38,1.38,1.38,1.38,1.37,1.37,1.36,1.36,1.36,1.36,1.36,1.36,1.36,1.37,1.37,1.36,1.37,1.37,1.37,1.37,1.37,1.37,1.38,1.38,1.38,1.38,1.37,1.37,1.37,1.37,1.37,1.38,1.38,1.37,1.37,1.37,1.36,1.36,1.36&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=slowpickle

### slowspitfire ###
Min: 1.507587 -> 1.393345: 1.0820x faster
Avg: 1.512317 -> 1.405533: 1.0760x faster
Significant (t=83.955024)
Stddev: 0.00415 -> 0.00798: 1.9254x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0.39334487915,2.53158593178&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0.39334487915,2.53158593178&chd=t:1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.53,1.52,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.52,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.51,1.53,1.51,1.51,1.51,1.51,1.52,1.51,1.51,1.51,1.51|1.41,1.41,1.42,1.39,1.41,1.41,1.4,1.42,1.4,1.39,1.4,1.39,1.4,1.4,1.42,1.41,1.4,1.4,1.42,1.4,1.4,1.41,1.42,1.4,1.42,1.41,1.41,1.41,1.41,1.41,1.4,1.4,1.4,1.4,1.41,1.41,1.41,1.4,1.41,1.4,1.4,1.4,1.41,1.41,1.42,1.41,1.4,1.41,1.4,1.4&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=slowspitfire

### slowunpickle ###
Min: 0.692674 -> 0.645382: 1.0733x faster
Avg: 0.695322 -> 0.648033: 1.0730x faster
Significant (t=102.284826)
Stddev: 0.00177 -> 0.00275: 1.5551x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.70394492149&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0,1.70394492149&chd=t:0.69,0.69,0.7,0.69,0.69,0.69,0.7,0.69,0.7,0.7,0.69,0.7,0.69,0.7,0.69,0.7,0.69,0.7,0.7,0.7,0.7,0.69,0.7,0.69,0.7,0.69,0.7,0.69,0.69,0.7,0.69,0.7,0.7,0.69,0.69,0.7,0.7,0.7,0.69,0.7,0.7,0.7,0.7,0.69,0.7,0.7,0.69,0.7,0.7,0.7|0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.65,0.66,0.65,0.65,0.65,0.65&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=slowunpickle

### startup_nosite ###
Min: 0.247376 -> 0.246369: 1.0041x faster
Avg: 0.249051 -> 0.248113: 1.0038x faster
Significant (t=6.716428)
Stddev: 0.00109 -> 0.00088: 1.2345x smaller
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.25523996353&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0,1.25523996353&chd=t:0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.26,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25|0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25,0.25&chxl=0:|1|20|40|60|80|100|2:||Iteration|3:||Time+(secs)&chtt=startup_nosite

### threaded_count ###
Min: 0.373155 -> 0.227307: 1.6416x faster
Avg: 0.374912 -> 0.234906: 1.5960x faster
Significant (t=224.886947)
Stddev: 0.00110 -> 0.00426: 3.8673x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.37840795517&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0,1.37840795517&chd=t:0.37,0.37,0.38,0.37,0.37,0.37,0.38,0.38,0.37,0.38,0.37,0.37,0.37,0.38,0.38,0.38,0.37,0.38,0.38,0.38,0.38,0.38,0.37,0.37,0.37,0.38,0.37,0.38,0.37,0.37,0.37,0.37,0.38,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.37,0.38,0.37,0.38,0.37,0.37,0.38,0.38,0.37,0.37|0.24,0.24,0.24,0.24,0.23,0.23,0.23,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.24,0.24,0.23,0.23,0.24,0.24,0.24,0.24,0.24,0.24,0.24,0.23,0.23,0.23,0.23,0.23,0.23,0.23,0.25,0.24,0.25,0.24,0.24,0.23,0.24,0.23&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=threaded_count

### unpack_sequence ###
Min: 0.000150 -> 0.000159: 1.0605x slower
Avg: 0.000153 -> 0.000161: 1.0550x slower
Significant (t=-450.521988)
Stddev: 0.00000 -> 0.00000: 1.2070x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0,1.00053215027&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0,1.00053215027&chd=t:0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0|0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0&chxl=0:|1|20|40|60|80|100|2:||Iteration|3:||Time+(secs)&chtt=unpack_sequence

### unpickle ###
Min: 2.042838 -> 2.023408: 1.0096x faster
Avg: 2.054084 -> 2.037836: 1.0080x faster
Significant (t=13.396235)
Stddev: 0.00551 -> 0.00657: 1.1931x larger
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,1.0234079361,3.0667848587&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=1.0234079361,3.0667848587&chd=t:2.06,2.06,2.05,2.05,2.05,2.05,2.05,2.05,2.05,2.05,2.05,2.05,2.05,2.05,2.05,2.05,2.06,2.06,2.06,2.06,2.05,2.06,2.06,2.06,2.06,2.05,2.04,2.05,2.05,2.05,2.05,2.05,2.05,2.05,2.04,2.04,2.05,2.06,2.06,2.06,2.06,2.06,2.06,2.06,2.07,2.06,2.06,2.06,2.05,2.06|2.04,2.04,2.04,2.04,2.04,2.02,2.04,2.03,2.02,2.04,2.04,2.04,2.03,2.03,2.04,2.04,2.04,2.05,2.05,2.05,2.05,2.05,2.05,2.05,2.05,2.05,2.03,2.03,2.03,2.03,2.03,2.03,2.03,2.04,2.03,2.03,2.04,2.04,2.04,2.04,2.04,2.04,2.04,2.04,2.04,2.04,2.04,2.03,2.03,2.03&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=unpickle

### unpickle_list ###
Min: 1.542357 -> 1.645569: 1.0669x slower
Avg: 1.554601 -> 1.654697: 1.0644x slower
Significant (t=-93.061602)
Stddev: 0.00647 -> 0.00400: 1.6147x smaller
Timeline: http://chart.apis.google.com/chart?cht=lc&chs=700x400&chxt=x,y,x,y&chxr=1,0.54235696793,2.66085600853&chco=FF0000,0000FF&chdl=/btrfs/src/Python-2.6.4/python|/btrfs/src/wpython2-wpython11/python&chds=0.54235696793,2.66085600853&chd=t:1.56,1.55,1.55,1.56,1.55,1.56,1.56,1.56,1.56,1.55,1.55,1.54,1.56,1.55,1.55,1.54,1.55,1.55,1.55,1.54,1.54,1.55,1.55,1.54,1.55,1.54,1.55,1.55,1.56,1.55,1.55,1.55,1.56,1.55,1.56,1.56,1.56,1.56,1.56,1.56,1.56,1.56,1.56,1.57,1.56,1.56,1.56,1.56,1.57,1.56|1.66,1.65,1.65,1.65,1.65,1.65,1.65,1.65,1.65,1.65,1.65,1.65,1.65,1.65,1.65,1.65,1.65,1.65,1.65,1.66,1.66,1.65,1.66,1.66,1.65,1.66,1.66,1.66,1.66,1.66,1.66,1.65,1.66,1.65,1.66,1.66,1.66,1.66,1.66,1.65,1.66,1.66,1.65,1.66,1.66,1.66,1.66,1.66,1.65,1.66&chxl=0:|1|10|20|30|40|50|2:||Iteration|3:||Time+(secs)&chtt=unpickle_list




Report on Darwin unknown-00-1e-c2-bc-ea-b3.config 10.3.0 Darwin Kernel Version 10.3.0: Fri Feb 26 11:58:09 PST 2010; root:xnu-1504.3.12~1/RELEASE_I386 i386 i386
Total CPU cores: 2

### 2to3 ###
25.590659 -> 23.666681: 1.0813x faster

### bzr_startup ###
Min: 0.102069 -> 0.099751: 1.0232x faster
Avg: 0.102827 -> 0.100411: 1.0241x faster
Significant (t=20.360035)
Stddev: 0.00072 -> 0.00094: 1.3152x larger
Timeline: http://tinyurl.com/y6yjv5w

### call_method ###
Min: 0.606348 -> 0.548343: 1.1058x faster
Avg: 0.609875 -> 0.556685: 1.0955x faster
Significant (t=54.742949)
Stddev: 0.00303 -> 0.01151: 3.7924x larger
Timeline: http://tinyurl.com/y7wkkmp

### call_method_slots ###
Min: 0.641415 -> 0.549939: 1.1663x faster
Avg: 0.648512 -> 0.571999: 1.1338x faster
Significant (t=66.043832)
Stddev: 0.01162 -> 0.00815: 1.4253x smaller
Timeline: http://tinyurl.com/y7mlu86

### call_method_unknown ###
Min: 0.675142 -> 0.613596: 1.1003x faster
Avg: 0.685377 -> 0.616531: 1.1117x faster
Significant (t=35.991776)
Stddev: 0.02328 -> 0.00260: 8.9669x smaller
Timeline: http://tinyurl.com/y6p65wk

### call_simple ###
Min: 0.443526 -> 0.425943: 1.0413x faster
Avg: 0.447255 -> 0.442844: 1.0100x faster
Significant (t=4.469438)
Stddev: 0.00569 -> 0.01066: 1.8738x larger
Timeline: http://tinyurl.com/y8xbq2f

### float ###
Min: 0.102775 -> 0.096776: 1.0620x faster
Avg: 0.110484 -> 0.102809: 1.0747x faster
Significant (t=13.220150)
Stddev: 0.00738 -> 0.00546: 1.3507x smaller
Timeline: http://tinyurl.com/yyhutwh

### hg_startup ###
Min: 0.045108 -> 0.043234: 1.0433x faster
Avg: 0.046845 -> 0.043972: 1.0653x faster
Significant (t=28.354118)
Stddev: 0.00206 -> 0.00095: 2.1622x smaller
Timeline: http://tinyurl.com/y5b9xx5

### html5lib ###
Min: 15.549443 -> 14.847499: 1.0473x faster
Avg: 15.582542 -> 14.859007: 1.0487x faster
Significant (t=64.534012)
Stddev: 0.02167 -> 0.01261: 1.7190x smaller
Timeline: http://tinyurl.com/y3g6t44

### html5lib_warmup ###
Min: 15.770884 -> 15.074864: 1.0462x faster
Avg: 16.133120 -> 15.319287: 1.0531x faster
Significant (t=4.375747)
Stddev: 0.30506 -> 0.28266: 1.0793x smaller
Timeline: http://tinyurl.com/y2xcn3m

### iterative_count ###
Min: 0.147178 -> 0.085756: 1.7162x faster
Avg: 0.151184 -> 0.088620: 1.7060x faster
Significant (t=49.925293)
Stddev: 0.00651 -> 0.00601: 1.0834x smaller
Timeline: http://tinyurl.com/yybv496

### nbody ###
Min: 0.471700 -> 0.463253: 1.0182x faster
Avg: 0.483086 -> 0.475017: 1.0170x faster
Significant (t=3.488633)
Stddev: 0.01129 -> 0.01183: 1.0477x larger
Timeline: http://tinyurl.com/y6lrfst

### normal_startup ###
Min: 0.811946 -> 0.789491: 1.0284x faster
Avg: 0.854893 -> 0.819687: 1.0430x faster
Significant (t=5.095698)
Stddev: 0.03899 -> 0.02943: 1.3249x smaller
Timeline: http://tinyurl.com/yydc2u4

### nqueens ###
Min: 0.597376 -> 0.570333: 1.0474x faster
Avg: 0.606725 -> 0.588271: 1.0314x faster
Significant (t=5.653285)
Stddev: 0.00920 -> 0.02117: 2.3015x larger
Timeline: http://tinyurl.com/y3n2fg3

### pickle ###
Min: 1.651874 -> 1.574163: 1.0494x faster
Avg: 1.680315 -> 1.612453: 1.0421x faster
Significant (t=10.340275)
Stddev: 0.02313 -> 0.04023: 1.7395x larger
Timeline: http://tinyurl.com/y7r55ms

### pickle_dict ###
Min: 1.308464 -> 1.275010: 1.0262x faster
Avg: 1.318127 -> 1.296507: 1.0167x faster
Significant (t=4.484688)
Stddev: 0.00605 -> 0.03355: 5.5471x larger
Timeline: http://tinyurl.com/y4j9v5q

### pickle_list ###
Min: 0.743117 -> 0.803173: 1.0808x slower
Avg: 0.751905 -> 0.810111: 1.0774x slower
Significant (t=-44.249464)
Stddev: 0.00663 -> 0.00652: 1.0172x smaller
Timeline: http://tinyurl.com/y633yb6

### pybench ###
Min: 4763 -> 4342: 1.0970x faster
Avg: 4988 -> 4463: 1.1176x faster

### regex_compile ###
Min: 0.740278 -> 0.661458: 1.1192x faster
Avg: 0.764527 -> 0.685639: 1.1151x faster
Significant (t=15.011621)
Stddev: 0.02380 -> 0.02854: 1.1995x larger
Timeline: http://tinyurl.com/y524doe

### regex_effbot ###
Min: 0.096349 -> 0.096083: 1.0028x faster
Avg: 0.100523 -> 0.099285: 1.0125x faster
Not significant
Stddev: 0.00504 -> 0.00327: 1.5444x smaller
Timeline: http://tinyurl.com/y3e6z2j

### regex_v8 ###
Min: 0.107875 -> 0.104745: 1.0299x faster
Avg: 0.114243 -> 0.109286: 1.0454x faster
Significant (t=2.325803)
Stddev: 0.01377 -> 0.00612: 2.2522x smaller
Timeline: http://tinyurl.com/y4qvh3d

### richards ###
Min: 0.329455 -> 0.286851: 1.1485x faster
Avg: 0.340571 -> 0.298913: 1.1394x faster
Significant (t=13.324069)
Stddev: 0.01252 -> 0.01822: 1.4556x larger
Timeline: http://tinyurl.com/y3d8zxk

### slowpickle ###
Min: 0.717864 -> 0.646023: 1.1112x faster
Avg: 0.748511 -> 0.659941: 1.1342x faster
Significant (t=17.041455)
Stddev: 0.03039 -> 0.02067: 1.4701x smaller
Timeline: http://tinyurl.com/y5ht5y5

### slowspitfire ###
Min: 0.797233 -> 0.762146: 1.0460x faster
Avg: 0.839011 -> 0.812074: 1.0332x faster
Significant (t=4.203713)
Stddev: 0.02803 -> 0.03560: 1.2699x larger
Timeline: http://tinyurl.com/y7owc3g

### slowunpickle ###
Min: 0.320963 -> 0.289625: 1.1082x faster
Avg: 0.325532 -> 0.293422: 1.1094x faster
Significant (t=17.014061)
Stddev: 0.00791 -> 0.01075: 1.3598x larger
Timeline: http://tinyurl.com/y5dcwdj

### startup_nosite ###
Min: 0.210807 -> 0.219255: 1.0401x slower
Avg: 0.222933 -> 0.232971: 1.0450x slower
Significant (t=-4.776980)
Stddev: 0.01592 -> 0.01372: 1.1601x smaller
Timeline: http://tinyurl.com/y2cexr7

### threaded_count ###
Min: 0.195203 -> 0.113455: 1.7205x faster
Avg: 0.225064 -> 0.176248: 1.2770x faster
Significant (t=12.769360)
Stddev: 0.00850 -> 0.02566: 3.0192x larger
Timeline: http://tinyurl.com/y74c4w3

### unpack_sequence ###
Min: 0.000092 -> 0.000083: 1.1095x faster
Avg: 0.000094 -> 0.000085: 1.1058x faster
Significant (t=61.506288)
Stddev: 0.00002 -> 0.00002: 1.1541x smaller
Timeline: http://tinyurl.com/yykzcrg

### unpickle ###
Min: 1.026543 -> 1.018970: 1.0074x faster
Avg: 1.048295 -> 1.042098: 1.0059x faster
Not significant
Stddev: 0.01646 -> 0.03854: 2.3408x larger
Timeline: http://tinyurl.com/y786tft

### unpickle_list ###
Min: 0.908621 -> 0.905129: 1.0039x faster
Avg: 0.926660 -> 0.928462: 1.0019x slower
Not significant
Stddev: 0.01631 -> 0.01509: 1.0806x smaller
Timeline: http://tinyurl.com/y5m6s3u