File: //lib64/python2.7/Tools/scripts/analyze_dxp.pyo
ó
fc @ s¾ d Z d d l Z d d l Z d d l Z d d l Z d d l Z e e d ƒ s` e d ƒ ‚ n e j ƒ Z e j
ƒ a d „ Z d „ Z
d „ Z d „ Z d „ Z d
„ Z d d „ Z d S( s
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)
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<qO Wq2 Wn1 x. t t t ƒ ƒ 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 ƒ t j t ƒ 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 | ƒ r | r | d } n | } g t | ƒ D]. \ } } | d k r2 | t j | | f ^ q2 } | j d t j d ƒ d t ƒ | 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)
iÿÿÿÿi 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 | ƒ s g Sg t | d ƒ D]Z \ } } t | ƒ D]A \ } } | d k r7 | | f t j | t j | f | f ^ q7 q! } | j d t j d ƒ d t ƒ | S( sã 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)
iÿÿÿÿi 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 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 <module> s