Difficult-Rocket/libs/pyglet/clock.py

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"""Precise framerate calculation function scheduling.
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The :py:mod:`~pyglet.clock` module allows you to schedule functions
to run periodically, or for one-shot future execution. pyglet's default
event loop (:py:func:`~pyglet.app.run`) keeps an internal instance of
a :py:class:`~pyglet.clock.Clock`, which is ticked automatically.
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.. note:: Some internal modules will schedule items on the clock. If you
are using a custom event loop, always remember to `tick` the clock!
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Scheduling
==========
You can schedule a function to be called every time the clock is ticked::
def callback(dt):
print(f"{dt} seconds since last callback")
clock.schedule(callback)
The `schedule_interval` method causes a function to be called every "n"
seconds::
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clock.schedule_interval(callback, 0.5) # called twice a second
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The `schedule_once` method causes a function to be called once "n" seconds
in the future::
clock.schedule_once(callback, 5) # called in 5 seconds
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All the `schedule` methods will pass on any additional args or keyword args
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you specify to the callback function::
def move(dt, velocity, sprite):
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sprite.position += dt * velocity
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clock.schedule(move, velocity=5.0, sprite=alien)
You can cancel a function scheduled with any of these methods using
`unschedule`::
clock.unschedule(move)
Using multiple clocks
=====================
The clock functions are all relayed to an instance of
:py:class:`~pyglet.clock.Clock` which is initialised with the module. You can
get this instance to use directly::
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clk = pyglet.clock.get_default()
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You can also replace the default clock with your own:
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myclk = pyglet.clock.Clock()
pyglet.clock.set_default(myclk)
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Each clock maintains its own set of scheduled functions and frequency
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measurement. Each clock must be "ticked" separately.
Multiple and derived clocks potentially allow you to separate "game-time" and
"wall-time", or to synchronise your clock to an audio or video stream instead
of the system clock.
"""
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import time as _time
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from typing import Callable
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from heapq import heappop as _heappop
from heapq import heappush as _heappush
from heapq import heappushpop as _heappushpop
from operator import attrgetter as _attrgetter
from collections import deque as _deque
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class _ScheduledItem:
__slots__ = ['func', 'args', 'kwargs']
def __init__(self, func, args, kwargs):
self.func = func
self.args = args
self.kwargs = kwargs
class _ScheduledIntervalItem:
__slots__ = ['func', 'interval', 'last_ts', 'next_ts', 'args', 'kwargs']
def __init__(self, func, interval, last_ts, next_ts, args, kwargs):
self.func = func
self.interval = interval
self.last_ts = last_ts
self.next_ts = next_ts
self.args = args
self.kwargs = kwargs
def __lt__(self, other):
try:
return self.next_ts < other.next_ts
except AttributeError:
return self.next_ts < other
class Clock:
# List of functions to call every tick.
_schedule_items = None
# List of schedule interval items kept in sort order.
_schedule_interval_items = None
# If True, a sleep(0) is inserted on every tick.
_force_sleep = False
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def __init__(self, time_function=_time.perf_counter):
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"""Initialise a Clock, with optional custom time function.
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You can provide a custom time function to return the elapsed
time of the application, in seconds. Defaults to time.perf_counter,
but can be replaced to allow for easy time dilation effects or game
pausing.
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"""
self.time = time_function
self.next_ts = self.time()
self.last_ts = None
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# Used by self.get_frequency to show update frequency
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self.times = _deque()
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self.cumulative_time = 0
self.window_size = 60
self._schedule_items = []
self._schedule_interval_items = []
self._current_interval_item = None
@staticmethod
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def sleep(microseconds: float):
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_time.sleep(microseconds * 1e-6)
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def update_time(self) -> float:
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"""Get the elapsed time since the last call to `update_time`.
This updates the clock's internal measure of time and returns
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the difference (in seconds) since the last time it was called.
The first call of this method always returns 0.
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"""
ts = self.time()
if self.last_ts is None:
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delta_t = 0.0
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else:
delta_t = ts - self.last_ts
self.times.appendleft(delta_t)
if len(self.times) > self.window_size:
self.cumulative_time -= self.times.pop()
self.cumulative_time += delta_t
self.last_ts = ts
return delta_t
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def call_scheduled_functions(self, dt: float) -> bool:
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"""Call scheduled functions that elapsed on the last `update_time`.
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Returns True if any functions were called, otherwise False.
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.. versionadded:: 1.2
:Parameters:
dt : float
The elapsed time since the last update to pass to each
scheduled function. This is *not* used to calculate which
functions have elapsed.
"""
now = self.last_ts
result = False # flag indicates if any function was called
# handle items scheduled for every tick
if self._schedule_items:
result = True
# duplicate list in case event unschedules itself
for item in list(self._schedule_items):
item.func(dt, *item.args, **item.kwargs)
# check the next scheduled item that is not called each tick
# if it is scheduled in the future, then exit
interval_items = self._schedule_interval_items
try:
if interval_items[0].next_ts > now:
return result
# raised when the interval_items list is empty
except IndexError:
return result
# NOTE: there is no special handling required to manage things
# that are scheduled during this loop, due to the heap
self._current_interval_item = item = None
get_soft_next_ts = self._get_soft_next_ts
while interval_items:
# the scheduler will hold onto a reference to an item in
# case it needs to be rescheduled. it is more efficient
# to push and pop the heap at once rather than two operations
if item is None:
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item = _heappop(interval_items)
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else:
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item = _heappushpop(interval_items, item)
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# a scheduled function may try to unschedule itself,
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# so we need to keep a reference to the current
# item no longer on heap to be able to check
self._current_interval_item = item
# if next item is scheduled in the future then break
if item.next_ts > now:
break
# execute the callback
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item.func(now - item.last_ts, *item.args, **item.kwargs)
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if item.interval:
# Try to keep timing regular, even if overslept this time;
# but don't schedule in the past (which could lead to
# infinitely-worsening error).
item.next_ts = item.last_ts + item.interval
item.last_ts = now
# test the schedule for the next execution
if item.next_ts <= now:
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# the scheduled time of this item has already
# passed, so it must be rescheduled
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if now - item.next_ts < 0.05:
# missed execution time by 'reasonable' amount, so
# reschedule at normal interval
item.next_ts = now + item.interval
else:
# missed by significant amount, now many events have
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# likely missed execution. do a soft re-schedule to
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# avoid lumping many events together.
# in this case, the next dt will not be accurate
item.next_ts = get_soft_next_ts(now, item.interval)
item.last_ts = item.next_ts - item.interval
else:
# not an interval, so this item will not be rescheduled
self._current_interval_item = item = None
if item is not None:
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_heappush(interval_items, item)
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return True
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def tick(self, poll=False) -> float:
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"""Signify that one frame has passed.
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This will call any scheduled functions that have elapsed,
and returns the number of seconds since the last time this
method has been called. The first time this method is called,
0 is returned.
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:Parameters:
`poll` : bool
If True, the function will call any scheduled functions
but will not sleep or busy-wait for any reason. Recommended
for advanced applications managing their own sleep timers
only.
"""
if not poll and self._force_sleep:
self.sleep(0)
delta_t = self.update_time()
self.call_scheduled_functions(delta_t)
return delta_t
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def get_sleep_time(self, sleep_idle: bool):
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"""Get the time until the next item is scheduled.
Applications can choose to continue receiving updates at the
maximum framerate during idle time (when no functions are scheduled),
or they can sleep through their idle time and allow the CPU to
switch to other processes or run in low-power mode.
If `sleep_idle` is ``True`` the latter behaviour is selected, and
``None`` will be returned if there are no scheduled items.
Otherwise, if `sleep_idle` is ``False``, or if any scheduled items
exist, a value of 0 is returned.
:Parameters:
`sleep_idle` : bool
If True, the application intends to sleep through its idle
time; otherwise it will continue ticking at the maximum
frame rate allowed.
:rtype: float
:return: Time until the next scheduled event in seconds, or ``None``
if there is no event scheduled.
.. versionadded:: 1.1
"""
if self._schedule_items or not sleep_idle:
return 0.0
if self._schedule_interval_items:
return max(self._schedule_interval_items[0].next_ts - self.time(), 0.0)
return None
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def get_frequency(self) -> float:
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"""Get the average clock update frequency of recent history.
The result is the average of a sliding window of the last "n" updates,
where "n" is some number designed to cover approximately 1 second.
This is **not** the Window redraw rate.
"""
if not self.cumulative_time:
return 0
return len(self.times) / self.cumulative_time
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def _get_nearest_ts(self) -> float:
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"""Get the nearest timestamp.
Schedule from now, unless now is sufficiently close to last_ts, in
which case use last_ts. This clusters together scheduled items that
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probably want to be scheduled together.
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"""
last_ts = self.last_ts or self.next_ts
ts = self.time()
if ts - last_ts > 0.2:
return ts
return last_ts
def _get_soft_next_ts(self, last_ts, interval):
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def taken(ts, e):
"""Check if `ts` has already got an item scheduled nearby."""
# TODO this function is slow and called very often.
# Optimise it, maybe?
for item in self._schedule_interval_items:
if abs(item.next_ts - ts) <= e:
return True
elif item.next_ts > ts + e:
return False
return False
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# sorted list is required to produce expected results
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# taken() will iterate through the heap, expecting it to be sorted
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# and will not always catch the smallest value, so sort here.
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# do not remove the sort key...it is faster than relaying comparisons
# NOTE: do not rewrite as popping from heap, as that is super slow!
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self._schedule_interval_items.sort(key=_attrgetter('next_ts'))
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# Binary division over interval:
#
# 0 interval
# |--------------------------|
# 5 3 6 2 7 4 8 1 Order of search
#
# i.e., first scheduled at interval,
# then at interval/2
# then at interval/4
# then at interval*3/4
# then at ...
#
# Schedule is hopefully then evenly distributed for any interval,
# and any number of scheduled functions.
next_ts = last_ts + interval
if not taken(next_ts, interval / 4):
return next_ts
dt = interval
divs = 1
while True:
next_ts = last_ts
for i in range(divs - 1):
next_ts += dt
if not taken(next_ts, dt / 4):
return next_ts
dt /= 2
divs *= 2
# Avoid infinite loop in pathological case
if divs > 16:
return next_ts
def schedule(self, func, *args, **kwargs):
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"""Schedule a function to be called every tick.
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The scheduled function should have a prototype that includes ``dt``
as the first argument, which gives the elapsed time in seconds since
the last clock tick. Any additional args or kwargs given to this
method are passed on to the callback::
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def callback(dt, *args, **kwargs):
pass
:Parameters:
`func` : callable
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The function to call each tick.
.. note:: Functions scheduled using this method will be called
every tick by the default pyglet event loop, which can
lead to high CPU usage. It is usually better to use
:py:meth:`~pyglet.clock.schedule_interval` unless
this is desired.
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"""
item = _ScheduledItem(func, args, kwargs)
self._schedule_items.append(item)
def schedule_once(self, func, delay, *args, **kwargs):
"""Schedule a function to be called once after `delay` seconds.
The callback function prototype is the same as for `schedule`.
:Parameters:
`func` : callable
The function to call when the timer lapses.
`delay` : float
The number of seconds to wait before the timer lapses.
"""
last_ts = self._get_nearest_ts()
next_ts = last_ts + delay
item = _ScheduledIntervalItem(func, 0, last_ts, next_ts, args, kwargs)
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_heappush(self._schedule_interval_items, item)
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def schedule_interval(self, func, interval, *args, **kwargs):
"""Schedule a function to be called every `interval` seconds.
Specifying an interval of 0 prevents the function from being
called again (see `schedule` to call a function as often as possible).
The callback function prototype is the same as for `schedule`.
:Parameters:
`func` : callable
The function to call when the timer lapses.
`interval` : float
The number of seconds to wait between each call.
"""
last_ts = self._get_nearest_ts()
next_ts = last_ts + interval
item = _ScheduledIntervalItem(func, interval, last_ts, next_ts, args, kwargs)
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_heappush(self._schedule_interval_items, item)
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def schedule_interval_for_duration(self, func, interval, duration, *args, **kwargs):
"""Schedule a function to be called every `interval` seconds
(see `schedule_interval`) and unschedule it after `duration` seconds.
The callback function prototype is the same as for `schedule`.
:Parameters:
`func` : callable
The function to call when the timer lapses.
`interval` : float
The number of seconds to wait between each call.
`duration` : float
The number of seconds for which the function is scheduled.
"""
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# NOTE: unschedule wrapper that takes `dt` argument
def _unschedule(dt: float, _func: Callable) -> None:
self.unschedule(_func)
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self.schedule_interval(func, interval, *args, **kwargs)
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self.schedule_once(_unschedule, duration, func)
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def schedule_interval_soft(self, func, interval, *args, **kwargs):
"""Schedule a function to be called every ``interval`` seconds.
This method is similar to `schedule_interval`, except that the
clock will move the interval out of phase with other scheduled
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functions in order to distribute CPU load more evenly.
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This is useful for functions that need to be called regularly,
but not relative to the initial start time. :py:mod:`pyglet.media`
does this for scheduling audio buffer updates, which need to occur
regularly -- if all audio updates are scheduled at the same time
(for example, mixing several tracks of a music score, or playing
multiple videos back simultaneously), the resulting load on the
CPU is excessive for those intervals but idle outside. Using
the soft interval scheduling, the load is more evenly distributed.
Soft interval scheduling can also be used as an easy way to schedule
graphics animations out of phase; for example, multiple flags
waving in the wind.
.. versionadded:: 1.1
:Parameters:
`func` : callable
The function to call when the timer lapses.
`interval` : float
The number of seconds to wait between each call.
"""
next_ts = self._get_soft_next_ts(self._get_nearest_ts(), interval)
last_ts = next_ts - interval
item = _ScheduledIntervalItem(func, interval, last_ts, next_ts, args, kwargs)
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_heappush(self._schedule_interval_items, item)
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def unschedule(self, func):
"""Remove a function from the schedule.
If the function appears in the schedule more than once, all occurrences
are removed. If the function was not scheduled, no error is raised.
:Parameters:
`func` : callable
The function to remove from the schedule.
"""
# clever remove item without disturbing the heap:
# 1. set function to an empty lambda -- original function is not called
# 2. set interval to 0 -- item will be removed from heap eventually
valid_items = set(item for item in self._schedule_interval_items if item.func == func)
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if self._current_interval_item:
if self._current_interval_item.func == func:
valid_items.add(self._current_interval_item)
for item in valid_items:
item.interval = 0
item.func = lambda x, *args, **kwargs: x
self._schedule_items = [i for i in self._schedule_items if i.func != func]
# Default clock.
_default = Clock()
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def set_default(default) -> None:
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"""Set the default clock to use for all module-level functions.
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By default, an instance of :py:class:`~pyglet.clock.Clock` is used.
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"""
global _default
_default = default
def get_default():
"""Get the pyglet default Clock.
Return the :py:class:`~pyglet.clock.Clock` instance that is used by all
module-level clock functions.
"""
return _default
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def tick(poll: bool = False) -> float:
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""":see: :py:meth:`~pyglet.clock.Clock.tick`"""
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return _default.tick(poll)
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def get_sleep_time(sleep_idle: bool) -> float:
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""":see: :py:meth:`~pyglet.clock.Clock.get_sleep_time`"""
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return _default.get_sleep_time(sleep_idle)
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def get_frequency() -> float:
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""":see: :py:meth:`~pyglet.clock.Clock.get_frequency`"""
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return _default.get_frequency()
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def schedule(func: Callable, *args, **kwargs) -> None:
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""":see: :py:meth:`~pyglet.clock.Clock.schedule`"""
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_default.schedule(func, *args, **kwargs)
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def schedule_interval(func: Callable, interval: float, *args, **kwargs) -> None:
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""":see: :py:meth:`~pyglet.clock.Clock.schedule_interval`"""
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_default.schedule_interval(func, interval, *args, **kwargs)
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def schedule_interval_for_duration(func: Callable, interval: float, duration: float, *args, **kwargs) -> None:
""":see: :py:meth:`~pyglet.clock.Clock.schedule_interval_for_duration`"""
_default.schedule_interval_for_duration(func, interval, duration, *args, **kwargs)
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def schedule_interval_soft(func: Callable, interval: float, *args, **kwargs) -> None:
""":see: :py:meth:`~pyglet.clock.Clock.schedule_interval_soft`"""
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_default.schedule_interval_soft(func, interval, *args, **kwargs)
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def schedule_once(func: Callable, delay: float, *args, **kwargs) -> None:
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""":see: :py:meth:`~pyglet.clock.Clock.schedule_once`"""
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_default.schedule_once(func, delay, *args, **kwargs)
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def unschedule(func: Callable) -> None:
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""":see: :py:meth:`~pyglet.clock.Clock.unschedule`"""
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_default.unschedule(func)