i write profilehooks output .prof file. in order convert file qcachgrind file , visualize profiling results. (i can't use cprofile cprofile, not profile code)
its not on web, documentation says:
profile(fn=none, skip=0, filename=none, immediate=false, dirs=false, sort=none, entries=40, profiler=('cprofile', 'profile', 'hotshot'), stdout=true) mark `fn` profiling. if `skip` > 0, first `skip` calls `fn` not profiled. if `immediate` false, profiling results printed sys.stdout on program termination. otherwise results printed after each call. (if don't want this, set stdout=false , specify `filename` store profile data.) if `dirs` false name of file printed. otherwise full path used. `sort` can list of sort keys (defaulting ['cumulative', 'time', 'calls']). following ones recognized:: 'calls' -- call count 'cumulative' -- cumulative time 'file' -- file name 'line' -- line number 'module' -- file name 'name' -- function name 'nfl' -- name/file/line 'pcalls' -- call count 'stdname' -- standard name 'time' -- internal time `entries` limits output first n entries. `profiler` can used select preferred profiler, or specify sequence of them, in order of preference. default ('cprofile'. 'profile', 'hotshot'). if `filename` specified, profile stats stored in named file. can load them pstats.stats(filename) or use visualization tool runsnakerun. usage:: def fn(...): ... fn = profile(fn, skip=1) if using python 2.4, should able use decorator syntax:: @profile(skip=3) def fn(...): ... or :: @profile def fn(...): ... 
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