#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Created on Tue Apr 23 11:28:32 2013
Provides the high resolution timebase used by psychopy, and defines some time
related utility Classes.
Moved functionality from core.py so a common code
base could be used in core.py and logging.py; vs. duplicating the getTime and
Clock logic.
@author: Sol
@author: Jon
"""
from __future__ import absolute_import, division, print_function
from builtins import object
import time
import sys
from pkg_resources import parse_version
try:
import pyglet
except ImportError:
pass # pyglet is not installed
from psychopy.constants import STARTED, NOT_STARTED, FINISHED, PY3
import psychopy.logging # Absolute import to work around circularity
# set the default timing mechanism
getTime = None
# Select the timer to use as the psychopy high resolution time base. Selection
# is based on OS and Python version.
#
# Three requirements exist for the psychopy time base implementation:
# A) The Python interpreter does not apply an offset to the times returned
# based on when the timer module being used was loaded or when the
# timer function first called was first called.
# B) The timer implementation used must be monotonic and report elapsed
# time between calls, 'not' system or CPU usage time.
# C) The timer implementation must provide a resolution of 50 usec or
# better.
#
# Given the above requirements, psychopy selects a timer implementation as
# follows:
# 1) On Windows, the Windows Query Performance Counter API is used using
# ctypes access.
# 2) On other OS's, if the Python version being used is 2.6 or lower,
# time.time is used. For Python 2.7 and above, the timeit.default_timer
# function is used.
try:
import psychtoolbox
havePTB = True
except ImportError:
havePTB = False
if havePTB:
# def getTime():
# secs, wallTime, error = psychtoolbox.GetSecs('allclocks')
# return wallTime
getTime = psychtoolbox.GetSecs
elif sys.platform == 'win32':
from ctypes import byref, c_int64, windll
_fcounter = c_int64()
_qpfreq = c_int64()
windll.Kernel32.QueryPerformanceFrequency(byref(_qpfreq))
_qpfreq = float(_qpfreq.value)
_winQPC = windll.Kernel32.QueryPerformanceCounter
def getTime():
_winQPC(byref(_fcounter))
return _fcounter.value / _qpfreq
elif sys.platform == "darwin":
# Monotonic getTime with absolute origin. Suggested by @aforren1, and
# copied from github.com/aforren1/toon/blob/master/toon/input/mac_clock.py
import ctypes
_libc = ctypes.CDLL('/usr/lib/libc.dylib', use_errno=True)
# create helper class to store data
class mach_timebase_info_data_t(ctypes.Structure):
_fields_ = (('numer', ctypes.c_uint32), ('denom', ctypes.c_uint32))
# get function and set response type
_mach_absolute_time = _libc.mach_absolute_time
_mach_absolute_time.restype = ctypes.c_uint64
# calculate timebase
_timebase = mach_timebase_info_data_t()
_libc.mach_timebase_info(ctypes.byref(_timebase))
_ticks_per_second = _timebase.numer / _timebase.denom * 1.0e9
#then define getTime func
def getTime():
return _mach_absolute_time() / _ticks_per_second
else:
import timeit
getTime = timeit.default_timer
[docs]class MonotonicClock(object):
"""A convenient class to keep track of time in your experiments using a
sub-millisecond timer.
Unlike the :class:`~psychopy.core.Clock` this cannot be reset to
arbitrary times. For this clock t=0 always represents the time that
the clock was created.
Don't confuse this `class` with `core.monotonicClock` which is an
`instance` of it that got created when PsychoPy.core was imported.
That clock instance is deliberately designed always to return the
time since the start of the study.
Version Notes: This class was added in PsychoPy 1.77.00
"""
def __init__(self, start_time=None):
super(MonotonicClock, self).__init__()
if start_time is None:
# this is sub-millisec timer in python
self._timeAtLastReset = getTime()
else:
self._timeAtLastReset = start_time
[docs] def getTime(self, applyZero=True):
"""Returns the current time on this clock in secs (sub-ms precision).
If applying zero then this will be the time since the clock was created
(typically the beginning of the script).
If not applying zero then it is whatever the underlying clock uses as
its base time but that is system dependent. e.g. can be time since
reboot, time since Unix Epoch etc
"""
if applyZero:
return getTime() - self._timeAtLastReset
else:
return getTime()
[docs] def getLastResetTime(self):
"""
Returns the current offset being applied to the high resolution
timebase used by Clock.
"""
return self._timeAtLastReset
monotonicClock = MonotonicClock()
[docs]class Clock(MonotonicClock):
"""A convenient class to keep track of time in your experiments.
You can have as many independent clocks as you like (e.g. one
to time responses, one to keep track of stimuli...)
This clock is identical to the :class:`~psychopy.core.MonotonicClock`
except that it can also be reset to 0 or another value at any point.
"""
def __init__(self):
super(Clock, self).__init__()
[docs] def reset(self, newT=0.0):
"""Reset the time on the clock. With no args time will be
set to zero. If a float is received this will be the new
time on the clock
"""
self._timeAtLastReset = getTime() + newT
[docs] def add(self, t):
"""Add more time to the clock's 'start' time (t0).
Note that, by adding time to t0, you make the current time
appear less. Can have the effect that getTime() returns a negative
number that will gradually count back up to zero.
e.g.::
timer = core.Clock()
timer.add(5)
while timer.getTime()<0:
# do something
"""
self._timeAtLastReset += t
[docs]class CountdownTimer(Clock):
"""Similar to a :class:`~psychopy.core.Clock` except that time counts down
from the time of last reset
Typical usage::
timer = core.CountdownTimer(5)
while timer.getTime() > 0: # after 5s will become negative
# do stuff
"""
def __init__(self, start=0):
super(CountdownTimer, self).__init__()
self._countdown_duration = start
if start:
self.add(start)
[docs] def getTime(self):
"""Returns the current time left on this timer in secs
(sub-ms precision)
"""
return self._timeAtLastReset - getTime()
[docs] def reset(self, t=None):
if t is None:
Clock.reset(self, self._countdown_duration)
else:
self._countdown_duration = t
Clock.reset(self, t)
[docs]class StaticPeriod(object):
"""A class to help insert a timing period that includes code to be run.
Typical usage::
fixation.draw()
win.flip()
ISI = StaticPeriod(screenHz=60)
ISI.start(0.5) # start a period of 0.5s
stim.image = 'largeFile.bmp' # could take some time
ISI.complete() # finish the 0.5s, taking into account one 60Hz frame
stim.draw()
win.flip() # the period takes into account the next frame flip
# time should now be at exactly 0.5s later than when ISI.start()
# was called
"""
def __init__(self, screenHz=None, win=None, name='StaticPeriod'):
"""
:param screenHz: the frame rate of the monitor (leave as None if you
don't want this accounted for)
:param win: if a visual.Window is given then StaticPeriod will
also pause/restart frame interval recording
:param name: give this StaticPeriod a name for more informative
logging messages
"""
self.status = NOT_STARTED
self.countdown = CountdownTimer()
self.name = name
self.win = win
if screenHz is None:
self.frameTime = 0
else:
self.frameTime = 1.0 / screenHz
[docs] def start(self, duration):
"""Start the period. If this is called a second time, the timer will
be reset and starts again
:param duration: The duration of the period, in seconds.
"""
self.status = STARTED
self.countdown.reset(duration - self.frameTime)
# turn off recording of frame intervals throughout static period
if self.win:
self._winWasRecordingIntervals = self.win.recordFrameIntervals
self.win.recordFrameIntervals = False
[docs] def complete(self):
"""Completes the period, using up whatever time is remaining with a
call to wait()
:return: 1 for success, 0 for fail (the period overran)
"""
self.status = FINISHED
timeRemaining = self.countdown.getTime()
if self.win:
self.win.recordFrameIntervals = self._winWasRecordingIntervals
if timeRemaining < 0:
msg = ('We overshot the intended duration of %s by %.4fs. The '
'intervening code took too long to execute.')
vals = self.name, abs(timeRemaining)
psychopy.logging.warn(msg % vals)
return 0
else:
wait(timeRemaining)
return 1
[docs]def wait(secs, hogCPUperiod=0.2):
"""Wait for a given time period.
If secs=10 and hogCPU=0.2 then for 9.8s python's time.sleep function
will be used, which is not especially precise, but allows the cpu to
perform housekeeping. In the final hogCPUperiod the more precise
method of constantly polling the clock is used for greater precision.
If you want to obtain key-presses during the wait, be sure to use
pyglet and to hogCPU for the entire time, and then call
:func:`psychopy.event.getKeys()` after calling
:func:`~.psychopy.core.wait()`
If you want to suppress checking for pyglet events during the wait,
do this once::
core.checkPygletDuringWait = False
and from then on you can do::
core.wait(sec)
This will preserve terminal-window focus during command line usage.
"""
from . import core
# initial relaxed period, using sleep (better for system resources etc)
if secs > hogCPUperiod:
time.sleep(secs - hogCPUperiod)
secs = hogCPUperiod # only this much is now left
# hog the cpu, checking time
t0 = getTime()
while (getTime() - t0) < secs:
if not (core.havePyglet and core.checkPygletDuringWait):
continue
# let's see if pyglet collected any event in meantime
try:
# this takes focus away from command line terminal window:
if parse_version(pyglet.version) < parse_version('1.2'):
# events for sounds/video should run independently of wait()
pyglet.media.dispatch_events()
except AttributeError:
# see http://www.pyglet.org/doc/api/pyglet.media-module.html#dispatch_events
# Deprecated: Since pyglet 1.1, Player objects schedule themselves
# on the default clock automatically. Applications should not call
# pyglet.media.dispatch_events().
pass
for winWeakRef in core.openWindows:
win = winWeakRef()
if (win.winType == "pyglet" and
hasattr(win.winHandle, "dispatch_events")):
win.winHandle.dispatch_events() # pump events
[docs]def getAbsTime():
"""Return unix time (i.e., whole seconds elapsed since Jan 1, 1970).
This uses the same clock-base as the other timing features,
like `getTime()`. The time (in seconds) ignores the time-zone
(like `time.time()` on linux). To take the timezone into account,
use `int(time.mktime(time.gmtime()))`.
Absolute times in seconds are especially useful to add to generated
file names for being unique, informative (= a meaningful time stamp),
and because the resulting files will always sort as expected when
sorted in chronological, alphabetical, or numerical order, regardless
of locale and so on.
Version Notes: This method was added in PsychoPy 1.77.00
"""
return int(time.mktime(time.localtime()))
