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File Name : analyze_dxp.pyo

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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
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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')

c����������3���s3���x,�t�������D]�\�}��}�}�d�|�|�f�Vq
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which.pyc	file	1.59 KB	root/root	0644	2019-08-07 12:52:03
which.pyo	file	1.59 KB	root/root	0644	2019-08-07 12:52:03
win_add2path.py	file	1.58 KB	root/root	0755	2019-08-07 12:51:47
win_add2path.pyc	file	2.02 KB	root/root	0644	2019-08-07 12:52:03
win_add2path.pyo	file	2.02 KB	root/root	0644	2019-08-07 12:52:03
xxci.py	file	2.73 KB	root/root	0755	2019-08-07 12:51:47
xxci.pyc	file	3.93 KB	root/root	0644	2019-08-07 12:52:03
xxci.pyo	file	3.93 KB	root/root	0644	2019-08-07 12:52:03