4710c53dca
These files are a subset of the python-2.7.2.tgz distribution from python.org. Changed files from PyMod-2.7.2 have been copied into the corresponding directories of this tree, replacing the original files in the distribution. Signed-off-by: daryl.mcdaniel@intel.com git-svn-id: https://edk2.svn.sourceforge.net/svnroot/edk2/trunk/edk2@13197 6f19259b-4bc3-4df7-8a09-765794883524
130 lines
4.2 KiB
Python
130 lines
4.2 KiB
Python
"""
|
|
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)
|
|
"""
|
|
|
|
import copy
|
|
import opcode
|
|
import operator
|
|
import sys
|
|
import threading
|
|
|
|
if not hasattr(sys, "getdxp"):
|
|
raise RuntimeError("Can't import analyze_dxp: Python built without"
|
|
" -DDYNAMIC_EXECUTION_PROFILE.")
|
|
|
|
|
|
_profile_lock = threading.RLock()
|
|
_cumulative_profile = sys.getdxp()
|
|
|
|
# If Python was built with -DDXPAIRS, sys.getdxp() returns a list of
|
|
# lists of ints. Otherwise it returns just a list of ints.
|
|
def has_pairs(profile):
|
|
"""Returns True if the Python that produced the argument profile
|
|
was built with -DDXPAIRS."""
|
|
|
|
return len(profile) > 0 and isinstance(profile[0], list)
|
|
|
|
|
|
def reset_profile():
|
|
"""Forgets any execution profile that has been gathered so far."""
|
|
with _profile_lock:
|
|
sys.getdxp() # Resets the internal profile
|
|
global _cumulative_profile
|
|
_cumulative_profile = sys.getdxp() # 0s out our copy.
|
|
|
|
|
|
def merge_profile():
|
|
"""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."""
|
|
|
|
with _profile_lock:
|
|
new_profile = sys.getdxp()
|
|
if has_pairs(new_profile):
|
|
for first_inst in range(len(_cumulative_profile)):
|
|
for second_inst in range(len(_cumulative_profile[first_inst])):
|
|
_cumulative_profile[first_inst][second_inst] += (
|
|
new_profile[first_inst][second_inst])
|
|
else:
|
|
for inst in range(len(_cumulative_profile)):
|
|
_cumulative_profile[inst] += new_profile[inst]
|
|
|
|
|
|
def snapshot_profile():
|
|
"""Returns the cumulative execution profile until this call."""
|
|
with _profile_lock:
|
|
merge_profile()
|
|
return copy.deepcopy(_cumulative_profile)
|
|
|
|
|
|
def common_instructions(profile):
|
|
"""Returns the most common opcodes in order of descending frequency.
|
|
|
|
The result is a list of tuples of the form
|
|
(opcode, opname, # of occurrences)
|
|
|
|
"""
|
|
if has_pairs(profile) and profile:
|
|
inst_list = profile[-1]
|
|
else:
|
|
inst_list = profile
|
|
result = [(op, opcode.opname[op], count)
|
|
for op, count in enumerate(inst_list)
|
|
if count > 0]
|
|
result.sort(key=operator.itemgetter(2), reverse=True)
|
|
return result
|
|
|
|
|
|
def common_pairs(profile):
|
|
"""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)
|
|
|
|
"""
|
|
if not has_pairs(profile):
|
|
return []
|
|
result = [((op1, op2), (opcode.opname[op1], opcode.opname[op2]), count)
|
|
# Drop the row of single-op profiles with [:-1]
|
|
for op1, op1profile in enumerate(profile[:-1])
|
|
for op2, count in enumerate(op1profile)
|
|
if count > 0]
|
|
result.sort(key=operator.itemgetter(2), reverse=True)
|
|
return result
|
|
|
|
|
|
def render_common_pairs(profile=None):
|
|
"""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')
|
|
|
|
"""
|
|
if profile is None:
|
|
profile = snapshot_profile()
|
|
def seq():
|
|
for _, ops, count in common_pairs(profile):
|
|
yield "%s: %s\n" % (count, ops)
|
|
return ''.join(seq())
|