Panda3D
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Classes | |
class | _BoundedSemaphore |
class | _Condition |
class | _DummyThread |
class | _Event |
class | _MainThread |
class | _RLock |
class | _Semaphore |
class | _Timer |
class | _Verbose |
class | Thread |
Functions | |
_pickSomeNonDaemonThread () | |
_test () | |
try: from thread import _local as local except ImportError: from _threading_local import local | |
active_count () | |
BoundedSemaphore (*args, **kwargs) | |
Condition (*args, **kwargs) | |
current_thread () | |
enumerate () | |
Event (*args, **kwargs) | |
main_thread () | |
RLock (*args, **kwargs) | |
Semaphore (*args, **kwargs) | |
setprofile (func) | |
settrace (func) | |
Timer (*args, **kwargs) | |
Variables | |
dict | _active = {} |
_active_limbo_lock = _allocate_lock() | |
_allocate_lock = _thread.allocate_lock | |
dict | _limbo = {} |
_main_thread = _MainThread() | |
_profile_hook = None | |
_shutdown = _main_thread._exitfunc | |
_sleep = core.Thread.sleep | |
_start_new_thread = _thread.start_new_thread | |
_trace_hook = None | |
bool | _VERBOSE = False |
activeCount = active_count | |
count | |
currentThread = current_thread | |
get_ident = _thread.get_ident | |
limit | |
Lock = _allocate_lock | |
mon | |
queue | |
quota | |
rc | |
ThreadError = _thread.error | |
TIMEOUT_MAX = _thread.TIMEOUT_MAX | |
wc | |
This module reimplements Python's native threading module using Panda threading constructs. It's designed as a drop-in replacement for the threading module for code that works with Panda; it is necessary because in some compilation models, Panda's threading constructs are incompatible with the OS-provided threads used by Python's thread module. Unlike threading.py, this module is a more explicit implementation of Python's threading model, designed to more precisely emulate Python's standard threading semantics. In fact, this is a bald-face copy of Python's threading module from Python 2.5, with a few lines at the top to import Panda's thread reimplementation instead of the system thread module, and so it is therefore layered on top of Panda's thread implementation.
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try: from thread import _local as local except ImportError: from _threading_local import local
active_count | ( | ) |
BoundedSemaphore | ( | * | args, |
** | kwargs ) |
Condition | ( | * | args, |
** | kwargs ) |
current_thread | ( | ) |
enumerate | ( | ) |
Event | ( | * | args, |
** | kwargs ) |
main_thread | ( | ) |
Return the main thread object. In normal conditions, the main thread is the thread from which the Python interpreter was started.
RLock | ( | * | args, |
** | kwargs ) |
Semaphore | ( | * | args, |
** | kwargs ) |
setprofile | ( | func | ) |
settrace | ( | func | ) |
Timer | ( | * | args, |
** | kwargs ) |
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activeCount = active_count |
count |
currentThread = current_thread |
get_ident = _thread.get_ident |
limit |
Lock = _allocate_lock |
mon |
queue |
quota |
rc |
ThreadError = _thread.error |
TIMEOUT_MAX = _thread.TIMEOUT_MAX |
wc |