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stats.pynu �[��� """Statistics analyzer for HotShot."""
import profile
import pstats
import hotshot.log
from hotshot.log import ENTER, EXIT
def load(filename):
return StatsLoader(filename).load()
class StatsLoader:
def __init__(self, logfn):
self._logfn = logfn
self._code = {}
self._stack = []
self.pop_frame = self._stack.pop
def load(self):
# The timer selected by the profiler should never be used, so make
# sure it doesn't work:
p = Profile()
p.get_time = _brokentimer
log = hotshot.log.LogReader(self._logfn)
taccum = 0
for event in log:
what, (filename, lineno, funcname), tdelta = event
if tdelta > 0:
taccum += tdelta
# We multiply taccum to convert from the microseconds we
# have to the seconds that the profile/pstats module work
# with; this allows the numbers to have some basis in
# reality (ignoring calibration issues for now).
if what == ENTER:
frame = self.new_frame(filename, lineno, funcname)
p.trace_dispatch_call(frame, taccum * .000001)
taccum = 0
elif what == EXIT:
frame = self.pop_frame()
p.trace_dispatch_return(frame, taccum * .000001)
taccum = 0
# no further work for line events
assert not self._stack
return pstats.Stats(p)
def new_frame(self, *args):
# args must be filename, firstlineno, funcname
# our code objects are cached since we don't need to create
# new ones every time
try:
code = self._code[args]
except KeyError:
code = FakeCode(*args)
self._code[args] = code
# frame objects are create fresh, since the back pointer will
# vary considerably
if self._stack:
back = self._stack[-1]
else:
back = None
frame = FakeFrame(code, back)
self._stack.append(frame)
return frame
class Profile(profile.Profile):
def simulate_cmd_complete(self):
pass
class FakeCode:
def __init__(self, filename, firstlineno, funcname):
self.co_filename = filename
self.co_firstlineno = firstlineno
self.co_name = self.__name__ = funcname
class FakeFrame:
def __init__(self, code, back):
self.f_back = back
self.f_code = code
def _brokentimer():
raise RuntimeError, "this timer should not be called"
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__init__.pynu �[��� """High-perfomance logging profiler, mostly written in C."""
import _hotshot
from _hotshot import ProfilerError
from warnings import warnpy3k as _warnpy3k
_warnpy3k("The 'hotshot' module is not supported in 3.x, "
"use the 'profile' module instead.", stacklevel=2)
class Profile:
def __init__(self, logfn, lineevents=0, linetimings=1):
self.lineevents = lineevents and 1 or 0
self.linetimings = (linetimings and lineevents) and 1 or 0
self._prof = p = _hotshot.profiler(
logfn, self.lineevents, self.linetimings)
# Attempt to avoid confusing results caused by the presence of
# Python wrappers around these functions, but only if we can
# be sure the methods have not been overridden or extended.
if self.__class__ is Profile:
self.close = p.close
self.start = p.start
self.stop = p.stop
self.addinfo = p.addinfo
def close(self):
"""Close the logfile and terminate the profiler."""
self._prof.close()
def fileno(self):
"""Return the file descriptor of the profiler's log file."""
return self._prof.fileno()
def start(self):
"""Start the profiler."""
self._prof.start()
def stop(self):
"""Stop the profiler."""
self._prof.stop()
def addinfo(self, key, value):
"""Add an arbitrary labelled value to the profile log."""
self._prof.addinfo(key, value)
# These methods offer the same interface as the profile.Profile class,
# but delegate most of the work to the C implementation underneath.
def run(self, cmd):
"""Profile an exec-compatible string in the script
environment.
The globals from the __main__ module are used as both the
globals and locals for the script.
"""
import __main__
dict = __main__.__dict__
return self.runctx(cmd, dict, dict)
def runctx(self, cmd, globals, locals):
"""Evaluate an exec-compatible string in a specific
environment.
The string is compiled before profiling begins.
"""
code = compile(cmd, "<string>", "exec")
self._prof.runcode(code, globals, locals)
return self
def runcall(self, func, *args, **kw):
"""Profile a single call of a callable.
Additional positional and keyword arguments may be passed
along; the result of the call is returned, and exceptions are
allowed to propagate cleanly, while ensuring that profiling is
disabled on the way out.
"""
return self._prof.runcall(func, args, kw)
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