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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:<python_srcdir>/Tools/scripts ./python -i -O the_script.py --args
...
> from analyze_dxp import *
> s = render_common_pairs()
> open('/tmp/some_file', 'w').write(s)
i����Nt getdxpsK Can't import analyze_dxp: Python built without -DDYNAMIC_EXECUTION_PROFILE.c C s# t | � d k o" t | d t � 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 � t j � 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 � } t | � r| x� t t t � � D]C } x: t t t | � � D]" } t | | c | | | 7<qO Wq2 Wn1 x. t t t � � D] } t | c | | 7<q� WWd QXd S( s� Reads sys.getdxp() and merges it into this module's cached copy.
We need this because sys.getdxp() 0s itself every time it's called.N( R R R R t rangeR R ( t new_profilet
first_instt second_instt inst( ( s1 /usr/lib64/python2.7/Tools/scripts/analyze_dxp.pyt
merge_profile7 s c C s% t � t � t j t � SWd QXd S( s9 Returns the cumulative execution profile until this call.N( R R t copyt deepcopyR ( ( ( s1 /usr/lib64/python2.7/Tools/scripts/analyze_dxp.pyt snapshot_profileH s c C s� t | � r | r | d } n | } g t | � D]. \ } } | d k r2 | t j | | f ^ q2 } | j d t j d � d t � | S( s� Returns the most common opcodes in order of descending frequency.
The result is a list of tuples of the form
(opcode, opname, # of occurrences)
i����i t keyi t reverse( R t enumeratet opcodet opnamet sortt operatort
itemgettert True( R t inst_listt opt countt result( ( s1 /usr/lib64/python2.7/Tools/scripts/analyze_dxp.pyt common_instructionsO s
( c C s� t | � s g Sg t | d � D]Z \ } } t | � D]A \ } } | d k r7 | | f t j | t j | f | f ^ q7 q! } | j d t j d � d t � | S( s� Returns the most common opcode pairs in order of descending frequency.
The result is a list of tuples of the form
((1st opcode, 2nd opcode),
(1st opname, 2nd opname),
# of occurrences of the pair)
i����i R i R ( R R R R R R R R ( R t op1t
op1profilet op2R R ( ( s1 /usr/lib64/python2.7/Tools/scripts/analyze_dxp.pyt common_pairsa s > c s7 � d k r t � � n � f d � } d j | � � S( s� 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')
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