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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=$PYTHONPATH:<python_srcdir>/Tools/scripts ./python -i -O the_script.py --args
...
> from analyze_dxp import *
> s = render_common_pairs()
> open('/tmp/some_file', 'w').write(s)
� N�getdxpzKCan't import analyze_dxp: Python built without -DDYNAMIC_EXECUTION_PROFILE.c C s t | �dkot| d t�S )z[Returns True if the Python that produced the argument profile
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isinstance�list)�profile� r �>/opt/alt/python36/lib64/python3.6/Tools/scripts/analyze_dxp.py� has_pairs' s r c C s$ t � tj� tj� aW dQ R X dS )z<Forgets any execution profile that has been gathered so far.N)�
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c C s� t �� tj� } t| �rdxvttt��D ]:}x4ttt| ��D ] }t| | | | | 7 < q:W q$W n*x(ttt��D ]}t| | | 7 < qrW W dQ R X dS )z�Reads sys.getdxp() and merges it into this module's cached copy.
We need this because sys.getdxp() 0s itself every time it's called.N)r
r r r �ranger r )Z new_profileZ
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merge_profile6 s r c C s t � t� tjt�S Q R X dS )z9Returns the cumulative execution profile until this call.N)r
r �copy�deepcopyr r r r r �snapshot_profileG s r c C sD t | �r| r| d }n| }dd� t|�D �}|jtjd�dd� |S )z�Returns the most common opcodes in order of descending frequency.
The result is a list of tuples of the form
(opcode, opname, # of occurrences)
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r# c C s> t | �s g S dd� t| dd� �D �}|jtjd�dd� |S ) z�Returns the most common opcode pairs in order of descending frequency.
The result is a list of tuples of the form
((1st opcode, 2nd opcode),
(1st opname, 2nd opname),
# of occurrences of the pair)
c S sH g | ]@\}}t |�D ].\}}|d kr||ftj| tj| f|f�qqS )r )r r r )r Zop1Z
op1profileZop2r r r r r k s z common_pairs.<locals>.<listcomp>Nr r T)r r r )r r r r r! )r r" r r r � common_pairs` s r$ c s& � dkrt � � � fdd�}dj|� �S )z�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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