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Some helper functions to analyze the output of sys.getdxp() (which is
only available if Python was built with -DDYNAMIC_EXECUTION_PROFILE).
These will tell you which opcodes have been executed most frequently
in the current process, and, if Python was also built with -DDXPAIRS,
will tell you which instruction _pairs_ were executed most frequently,
which may help in choosing new instructions.
If Python was built without -DDYNAMIC_EXECUTION_PROFILE, importing
this module will raise a RuntimeError.
If you're running a script you want to profile, a simple way to get
the common pairs is:
$ PYTHONPATH=$PYTHONPATH:/Tools/scripts ./python -i -O the_script.py --args
...
> from analyze_dxp import *
> s = render_common_pairs()
> open('/tmp/some_file', 'w').write(s)
iÿÿÿÿNt getdxpsK Can't import analyze_dxp: Python built without -DDYNAMIC_EXECUTION_PROFILE.c C s# t | ƒ d k o" t | d t ƒ S( s[ Returns True if the Python that produced the argument profile
was built with -DDXPAIRS.i ( t lent
isinstancet list( t profile( ( s1 /usr/lib64/python2.7/Tools/scripts/analyze_dxp.pyt has_pairs( s c C s' t t j ƒ t j ƒ a Wd QXd S( s< Forgets any execution profile that has been gathered so far.N( t
_profile_lockt sysR t _cumulative_profile( ( ( s1 /usr/lib64/python2.7/Tools/scripts/analyze_dxp.pyt
reset_profile/ s
c C s· t « t j ƒ } t | ƒ r| x‹ t t t ƒ ƒ D]C } x: t t t | ƒ ƒ D]" } t | | c | | | 7 c s7 ˆ d k r t ƒ ‰ n ‡ f d † } d j | ƒ ƒ S( sà Renders the most common opcode pairs to a string in order of
descending frequency.
The result is a series of lines of the form:
# of occurrences: ('1st opname', '2nd opname')
c 3 s3 x, t ˆ ƒ D] \ } } } d | | f Vq
Wd S( Ns %s: %s
( R$ ( t _t opsR ( R ( s1 /usr/lib64/python2.7/Tools/scripts/analyze_dxp.pyt seq s t N( t NoneR t join( R R' ( ( R s1 /usr/lib64/python2.7/Tools/scripts/analyze_dxp.pyt render_common_pairsu s ( t __doc__R R R R t threadingt hasattrt RuntimeErrort RLockR R R R R R R R R$ R) R+ ( ( ( s1 /usr/lib64/python2.7/Tools/scripts/analyze_dxp.pyt s