Package stdpy.thread

Classes
class	_local
class	error
class	LockType
Functions
def	__getattribute__
	def __getattr__(self, key): d = _get_thread_locals(pm.Thread.getCurrentThread(), id(self)) try: return d[key] except KeyError: raise AttributeError
def	allocate_lock
def	exit
def	get_ident
def	interrupt_main
def	stack_size
def	start_new_thread
Variables
list	__all__
int	_nextThreadId = 0
dictionary	_threads = {}
tuple	_threadsLock = pm.Mutex('thread._threadsLock')
	considerYield = pm.Thread.considerYield
	forceYield = pm.Thread.forceYield

---

Detailed Description

This module reimplements Python's native thread module using Panda
threading constructs.  It's designed as a drop-in replacement for the
thread 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. 

---

Function Documentation

def stdpy.thread.__getattribute__	(		self,
			key
	)

def __getattr__(self, key): d = _get_thread_locals(pm.Thread.getCurrentThread(), id(self)) try: return d[key] except KeyError: raise AttributeError

def stdpy.thread.allocate_lock

(

)

def stdpy.thread.exit

(

)

def stdpy.thread.get_ident

(

)

def stdpy.thread.interrupt_main

(

)

def stdpy.thread.stack_size

(

size = 0

)

def stdpy.thread.start_new_thread	(		function,
			args,
			kwargs = {},
			name = None
	)

---

Variable Documentation

list __all__

Initial value:

[
    'error', 'LockType',
    'start_new_thread',
    'interrupt_main',
    'exit', 'allocate_lock', 'get_ident',
    'stack_size',
    'forceYield', 'considerYield',
    ]

int _nextThreadId = 0

dictionary _threads = {}

tuple _threadsLock = pm.Mutex('thread._threadsLock')

considerYield = pm.Thread.considerYield

forceYield = pm.Thread.forceYield