Chip 2007 January, February, March & April/Chip-Cover-CD-2007-02.iso/Pakiet bezpieczenstwa/mini Pentoo LiveCD 2006.1/mpentoo-2006.1.iso/livecd.squashfs/usr/lib/python2.4/site-packages/psyco/profiler.pyc

Python Compiled Bytecode | 2006-03-29 | 11.7 KB | 445 lines

# Source Generated with Decompyle++
# File: in.pyc (Python 2.4)

'''Psyco profiler (Python part).

The implementation of the non-time-critical parts of the profiler.
See profile() and full() in core.py for the easy interface.
'''
import _psyco
from support import *
import math
import time
import types
import atexit

try:
    import thread
except ImportError:
    import dummy_thread as thread

current = None
profilers = []
logger = None
go_lock = thread.allocate_lock()

def go(stop = 0):
    global current, current
    go_lock.acquire()

    try:
        prev = current
        if stop:
            del profilers[:]

        if prev:
            if profilers and profilers[0] is prev:
                return None

            prev.stop()
            current = None

        for p in profilers[:]:
            if p.start():
                current = p
                if logger:
                    logger.write('%s: starting' % p.__class__.__name__, 5)

                return None
                continue
    finally:
        go_lock.release()

    if stop:
        if logger:
            logger.writefinalstats()

    else:
        tag2bind()

atexit.register(go, 1)

def buildfncache(globals, cache):
    if hasattr(types.IntType, '__dict__'):
        clstypes = (types.ClassType, types.TypeType)
    else:
        clstypes = types.ClassType
    for x in globals.values():
        if isinstance(x, types.MethodType):
            x = x.im_func

        if isinstance(x, types.FunctionType):
            cache[x.func_code] = (x, '')
            continue
        if isinstance(x, clstypes):
            for y in x.__dict__.values():
                if isinstance(y, types.MethodType):
                    y = y.im_func

                if isinstance(y, types.FunctionType):
                    cache[y.func_code] = (y, x.__name__)
                    continue



function_cache = { }

def trytobind(co, globals, log = 1):

    try:
        (f, clsname) = function_cache[co]
    except KeyError:
        buildfncache(globals, function_cache)

        try:
            (f, clsname) = function_cache[co]
        except KeyError:
            if logger:
                logger.write('warning: cannot find function %s in %s' % (co.co_name, globals.get('__name__', '?')), 3)

            return None
        except:
            None<EXCEPTION MATCH>KeyError


        None<EXCEPTION MATCH>KeyError

    if logger and log:
        modulename = globals.get('__name__', '?')
        if clsname:
            modulename += '.' + clsname

        logger.write('bind function: %s.%s' % (modulename, co.co_name), 1)

    f.func_code = _psyco.proxycode(f)

if PYTHON_SUPPORT:
    tagged_codes = []

    def tag(co, globals):
        if logger:

            try:
                (f, clsname) = function_cache[co]
            except KeyError:
                buildfncache(globals, function_cache)

                try:
                    (f, clsname) = function_cache[co]
                except KeyError:
                    clsname = ''
                except:
                    None<EXCEPTION MATCH>KeyError


                None<EXCEPTION MATCH>KeyError

            modulename = globals.get('__name__', '?')
            if clsname:
                modulename += '.' + clsname

            logger.write('tag function: %s.%s' % (modulename, co.co_name), 1)

        tagged_codes.append((co, globals))
        _psyco.turbo_frame(co)
        _psyco.turbo_code(co)


    def tag2bind():
        if tagged_codes:
            if logger:
                logger.write('profiling stopped, binding %d functions' % len(tagged_codes), 2)

            for co, globals in tagged_codes:
                trytobind(co, globals, 0)

            function_cache.clear()
            del tagged_codes[:]


else:
    tag = trytobind

    def tag2bind():
        pass


class Profiler:
    MemoryTimerResolution = 0.10299999999999999

    def run(self, memory, time, memorymax, timemax):
        self.memory = memory
        self.memorymax = memorymax
        self.time = time
        if timemax is None:
            self.endtime = None
        else:
            self.endtime = time.time() + timemax
        self.alarms = []
        profilers.append(self)
        go()


    def start(self):
        curmem = _psyco.memory()
        memlimits = []
        if self.memorymax is not None:
            if curmem >= self.memorymax:
                if logger:
                    logger.writememory()

                return self.limitreached('memorymax')

            memlimits.append(self.memorymax)

        if self.memory is not None:
            if self.memory <= 0:
                if logger:
                    logger.writememory()

                return self.limitreached('memory')

            memlimits.append(curmem + self.memory)
            self.memory_at_start = curmem

        curtime = time.time()
        timelimits = []
        if self.endtime is not None:
            if curtime >= self.endtime:
                return self.limitreached('timemax')

            timelimits.append(self.endtime - curtime)

        if self.time is not None:
            if self.time <= 0.0:
                return self.limitreached('time')

            timelimits.append(self.time)
            self.time_at_start = curtime


        try:
            self.do_start()
        except error:
            e = None
            if logger:
                logger.write('%s: disabled by psyco.error:' % self.__class__.__name__, 4)
                logger.write('    %s' % str(e), 3)

            return 0

        if memlimits:
            self.memlimits_args = (time.sleep, (self.MemoryTimerResolution,), self.check_memory, (min(memlimits),))
            self.alarms.append(_psyco.alarm(*self.memlimits_args))

        if timelimits:
            self.alarms.append(_psyco.alarm(time.sleep, (min(timelimits),), self.time_out))

        return 1


    def stop(self):
        for alarm in self.alarms:
            alarm.stop(0)

        for alarm in self.alarms:
            alarm.stop(1)

        del self.alarms[:]
        if self.time is not None:
            self.time -= time.time() - self.time_at_start

        if self.memory is not None:
            self.memory -= _psyco.memory() - self.memory_at_start


        try:
            self.do_stop()
        except error:
            return 0

        return 1


    def check_memory(self, limit):
        if _psyco.memory() < limit:
            return self.memlimits_args

        go()


    def time_out(self):
        self.time = 0.0
        go()


    def limitreached(self, limitname):

        try:
            profilers.remove(self)
        except ValueError:
            pass

        if logger:
            logger.write('%s: disabled (%s limit reached)' % (self.__class__.__name__, limitname), 4)

        return 0



class FullCompiler(Profiler):

    def do_start(self):
        _psyco.profiling('f')


    def do_stop(self):
        _psyco.profiling('.')



class RunOnly(Profiler):

    def do_start(self):
        _psyco.profiling('n')


    def do_stop(self):
        _psyco.profiling('.')



class ChargeProfiler(Profiler):

    def __init__(self, watermark, parentframe):
        self.watermark = watermark
        self.parent2 = parentframe * 2.0
        self.lock = thread.allocate_lock()


    def init_charges(self):
        _psyco.statwrite(watermark = self.watermark, parent2 = self.parent2)


    def do_stop(self):
        _psyco.profiling('.')
        _psyco.statwrite(callback = None)



class ActiveProfiler(ChargeProfiler):

    def active_start(self):
        _psyco.profiling('p')


    def do_start(self):
        self.init_charges()
        self.active_start()
        _psyco.statwrite(callback = self.charge_callback)


    def charge_callback(self, frame, charge):
        tag(frame.f_code, frame.f_globals)



class PassiveProfiler(ChargeProfiler):
    initial_charge_unit = _psyco.statread('unit')
    reset_stats_after = 120
    reset_limit = initial_charge_unit * 2.0 ** reset_stats_after

    def __init__(self, watermark, halflife, pollfreq, parentframe):
        ChargeProfiler.__init__(self, watermark, parentframe)
        self.pollfreq = pollfreq
        self.progress = 2.0 ** (1.0 / (halflife * pollfreq))


    def reset(self):
        _psyco.statwrite(unit = self.initial_charge_unit, callback = None)
        _psyco.statreset()
        if logger:
            logger.write('%s: resetting stats' % self.__class__.__name__, 1)



    def passive_start(self):
        self.passivealarm_args = (time.sleep, (1.0 / self.pollfreq,), self.do_profile)
        self.alarms.append(_psyco.alarm(*self.passivealarm_args))


    def do_start(self):
        tag2bind()
        self.init_charges()
        self.passive_start()


    def do_profile(self):
        _psyco.statcollect()
        if logger:
            logger.dumpcharges()

        nunit = _psyco.statread('unit') * self.progress
        if nunit > self.reset_limit:
            self.reset()
        else:
            _psyco.statwrite(unit = nunit, callback = self.charge_callback)
        return self.passivealarm_args


    def charge_callback(self, frame, charge):
        trytobind(frame.f_code, frame.f_globals)



class ActivePassiveProfiler(PassiveProfiler, ActiveProfiler):

    def do_start(self):
        self.init_charges()
        self.active_start()
        self.passive_start()


    def charge_callback(self, frame, charge):
        tag(frame.f_code, frame.f_globals)



def psyco_settrace(*args, **kw):
    '''This is the Psyco-aware version of sys.settrace().'''
    result = original_settrace(*args, **kw)
    go()
    return result


def psyco_setprofile(*args, **kw):
    '''This is the Psyco-aware version of sys.setprofile().'''
    result = original_setprofile(*args, **kw)
    go()
    return result


def psyco_thread_stub(callable, args, kw):
    _psyco.statcollect()
    if kw is None:
        return callable(*args)
    else:
        return callable(*args, **kw)


def psyco_start_new_thread(callable, args, kw = None):
    '''This is the Psyco-aware version of thread.start_new_thread().'''
    return original_start_new_thread(psyco_thread_stub, (callable, args, kw))

original_settrace = sys.settrace
original_setprofile = sys.setprofile
original_start_new_thread = thread.start_new_thread
sys.settrace = psyco_settrace
sys.setprofile = psyco_setprofile
if PYTHON_SUPPORT:
    thread.start_new_thread = psyco_start_new_thread
    if sys.modules.has_key('threading') and hasattr(sys.modules['threading'], '_start_new_thread'):
        sys.modules['threading']._start_new_thread = psyco_start_new_thread