/usr/lib/python2.7/dist-packages/gevent/threading.py is in python-gevent 1.1.0-2.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 | from __future__ import absolute_import
__implements__ = ['local',
'_start_new_thread',
'_allocate_lock',
'Lock',
'_get_ident',
'_sleep',
'_DummyThread']
import threading as __threading__
_DummyThread_ = __threading__._DummyThread
from gevent.local import local
from gevent.thread import start_new_thread as _start_new_thread, allocate_lock as _allocate_lock, get_ident as _get_ident
from gevent.hub import sleep as _sleep, getcurrent, PYPY
Lock = _allocate_lock
def _cleanup(g):
__threading__._active.pop(id(g), None)
class _DummyThread(_DummyThread_):
# We avoid calling the superclass constructor. This makes us about
# twice as fast (1.16 vs 0.68usec on PyPy, 29.3 vs 17.7usec on
# CPython 2.7), and has the important effect of avoiding
# allocation and then immediate deletion of _Thread__block, a
# lock. This is especially important on PyPy where locks go
# through the cpyext API and Cython, which is known to be slow and
# potentially buggy (e.g.,
# https://bitbucket.org/pypy/pypy/issues/2149/memory-leak-for-python-subclass-of-cpyext#comment-22347393)
# These objects are constructed quite frequently in some cases, so
# the optimization matters: for example, in gunicorn, which uses
# pywsgi.WSGIServer, every request is handled in a new greenlet,
# and every request uses a logging.Logger to write the access log,
# and every call to a log method captures the current thread (by
# default).
#
# (Obviously we have to duplicate the effects of the constructor,
# at least for external state purposes, which is potentially
# slightly fragile.)
# For the same reason, instances of this class will cleanup their own entry
# in ``threading._active``
# Capture the static things as class vars to save on memory/
# construction time.
# In Py2, they're all private; in Py3, they become protected
_Thread__stopped = _is_stopped = _stopped = False
_Thread__initialized = _initialized = True
_Thread__daemonic = _daemonic = True
_Thread__args = _args = ()
_Thread__kwargs = _kwargs = None
_Thread__target = _target = None
_Thread_ident = _ident = None
_Thread__started = _started = __threading__.Event()
_Thread__started.set()
_tstate_lock = None
def __init__(self):
#_DummyThread_.__init__(self)
# It'd be nice to use a pattern like "greenlet-%d", but maybe somebody out
# there is checking thread names...
self._name = self._Thread__name = __threading__._newname("DummyThread-%d")
self._set_ident()
__threading__._active[_get_ident()] = self
g = getcurrent()
rawlink = getattr(g, 'rawlink', None)
if rawlink is not None:
rawlink(_cleanup)
def _Thread__stop(self):
pass
_stop = _Thread__stop # py3
def _wait_for_tstate_lock(self, *args, **kwargs):
pass
# Make sure the MainThread can be found by our current greenlet ID,
# otherwise we get a new DummyThread, which cannot be joined.
# Fixes tests in test_threading_2 under PyPy, and generally makes things nicer
# when gevent.threading is imported before monkey patching or not at all
# XXX: This assumes that the import is happening in the "main" greenlet
if _get_ident() not in __threading__._active and len(__threading__._active) == 1:
k, v = next(iter(__threading__._active.items()))
del __threading__._active[k]
v._Thread__ident = _get_ident()
__threading__._active[_get_ident()] = v
del k
del v
# Avoid printing an error on shutdown trying to remove the thread entry
# we just replaced if we're not fully monkey patched in
# XXX: This causes a hang on PyPy for some unknown reason (as soon as class _active
# defines __delitem__, shutdown hangs. Maybe due to something with the GC?
# XXX: This may be fixed in 2.6.1+
if not PYPY:
_MAIN_THREAD = __threading__._get_ident() if hasattr(__threading__, '_get_ident') else __threading__.get_ident()
class _active(dict):
def __delitem__(self, k):
if k == _MAIN_THREAD and k not in self:
return
dict.__delitem__(self, k)
__threading__._active = _active(__threading__._active)
import sys
if sys.version_info[:2] >= (3, 4):
# XXX: Issue 18808 breaks us on Python 3.4.
# Thread objects now expect a callback from the interpreter itself
# (threadmodule.c:release_sentinel). Because this never happens
# when a greenlet exits, join() and friends will block forever.
# The solution below involves capturing the greenlet when it is
# started and deferring the known broken methods to it.
class Thread(__threading__.Thread):
_greenlet = None
def is_alive(self):
return bool(self._greenlet)
isAlive = is_alive
def _set_tstate_lock(self):
self._greenlet = getcurrent()
def run(self):
try:
super(Thread, self).run()
finally:
# avoid ref cycles, but keep in __dict__ so we can
# distinguish the started/never-started case
self._greenlet = None
self._stop() # mark as finished
def join(self, timeout=None):
if '_greenlet' not in self.__dict__:
raise RuntimeError("Cannot join an inactive thread")
if self._greenlet is None:
return
self._greenlet.join(timeout=timeout)
def _wait_for_tstate_lock(self, *args, **kwargs):
raise NotImplementedError()
__implements__.append('Thread')
# The main thread is patched up with more care in monkey.py
#t = __threading__.current_thread()
#if isinstance(t, __threading__.Thread):
# t.__class__ = Thread
# t._greenlet = getcurrent()
if sys.version_info[:2] >= (3, 3):
__implements__.remove('_get_ident')
__implements__.append('get_ident')
get_ident = _get_ident
__implements__.remove('_sleep')
# Python 3 changed the implementation of threading.RLock
# Previously it was a factory function around threading._RLock
# which in turn used _allocate_lock. Now, it wants to use
# threading._CRLock, which is imported from _thread.RLock and as such
# is implemented in C. So it bypasses our _allocate_lock function.
# Fortunately they left the Python fallback in place
assert hasattr(__threading__, '_CRLock'), "Unsupported Python version"
_CRLock = None
__implements__.append('_CRLock')
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