B 18\W@sdZddlZddlZddlZddlZddlZeeds>edeZ e a ddZ ddZ d d Zd d Zd dZddZdddZdS)a 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=$PYTHONPATH:/Tools/scripts ./python -i -O the_script.py --args ... > from analyze_dxp import * > s = render_common_pairs() > open('/tmp/some_file', 'w').write(s) NgetdxpzKCan't import analyze_dxp: Python built without -DDYNAMIC_EXECUTION_PROFILE.cCst|dkot|dtS)z[Returns True if the Python that produced the argument profile was built with -DDXPAIRS.r)len isinstancelist)profilerY/oak/stanford/groups/akundaje/marinovg/programs/Python-3.7.3/Tools/scripts/analyze_dxp.py has_pairs'sr c Cs$tttaWdQRXdS)zYsz'common_instructions..T)keyreverse)r enumeratesortoperator itemgetter)rZ inst_listresultrrrcommon_instructionsNs   r#cCs>t|s gSddt|ddD}|jtddd|S)zReturns 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) cSsHg|]@\}}t|D].\}}|dkr||ftj|tj|f|fqqS)r)rrr)rZop1Z op1profileZop2rrrrrksz common_pairs..NrrT)rr)r rrr r!)rr"rrr common_pairs`s r$cs&dkrtfdd}d|S)zRenders the most common opcode pairs to a string in order of descending frequency. The result is a series of lines of the form: # of occurrences: ('1st opname', '2nd opname') Nc3s*x$tD]\}}}d||fVq WdS)Nz%s: %s )r$)_opsr)rrrseq~sz render_common_pairs..seq)rjoin)rr'r)rrrender_common_pairsts r*)N)__doc__rrr r threadinghasattr RuntimeErrorRLockr rr r r rrr#r$r*rrrrs