Generated by Cython 3.0.0a11
Yellow lines hint at Python interaction.
Click on a line that starts with a "+" to see the C code that Cython generated for it.
Raw output: _abstract_linkable.c
+001: # -*- coding: utf-8 -*-
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002: # cython: auto_pickle=False,embedsignature=True,always_allow_keywords=False
003: """
004: Internal module, support for the linkable protocol for "event" like objects.
005:
006: """
007: from __future__ import absolute_import
008: from __future__ import division
009: from __future__ import print_function
010:
+011: import sys
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+012: from gc import get_objects
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013:
+014: from greenlet import greenlet
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+015: from greenlet import error as greenlet_error
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016:
+017: from gevent._compat import thread_mod_name
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+018: from gevent._hub_local import get_hub_noargs as get_hub
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+019: from gevent._hub_local import get_hub_if_exists
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020:
+021: from gevent.exceptions import InvalidSwitchError
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+022: from gevent.exceptions import InvalidThreadUseError
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+023: from gevent.timeout import Timeout
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024:
+025: locals()['getcurrent'] = __import__('greenlet').getcurrent
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029: 'AbstractLinkable',
030: ]
031:
032: # Need the real get_ident. We're imported early enough during monkey-patching
033: # that we can be sure nothing is monkey patched yet.
+034: _get_thread_ident = __import__(thread_mod_name).get_ident
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036:
037: class _FakeNotifier(object):
038: __slots__ = (
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050: # Make sure to only find hubs that have a loop
051: # and aren't destroyed. If we don't do that, we can
052: # get an old hub that no longer works leading to issues in
053: # combined test cases.
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055: }
056:
057:
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060: # protocol common to both repeatable events (Event, Semaphore) and
061: # one-time events (AsyncResult).
062: #
063: # With a few careful exceptions, instances of this object can only
064: # be used from a single thread. The exception is that certain methods
065: # may be used from multiple threads IFF:
066: #
067: # 1. They are documented as safe for that purpose; AND
068: # 2a. This object is compiled with Cython and thus is holding the GIL
069: # for the entire duration of the method; OR
070: # 2b. A subclass ensures that a Python-level native thread lock is held
071: # for the duration of the method; this is necessary in pure-Python mode.
072: # The only known implementation of such
073: # a subclass is for Semaphore. AND
074: # 3. The subclass that calls ``capture_hub`` catches
075: # and handles ``InvalidThreadUseError``
076: #
077: # TODO: As of gevent 1.5, we use the same datastructures and almost
078: # the same algorithm as Greenlet. See about unifying them more.
079:
080: __slots__ = (
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082: '_links',
083: '_notifier',
084: '_notify_all',
085: '__weakref__'
086: )
087:
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090: # maintained the order of notifications, but Event did not.
091:
092: # In gevent 1.3, before Semaphore extended this class, that
093: # was changed to not maintain the order. It was done because
094: # Event guaranteed to only call callbacks once (a set) but
095: # AsyncResult had no such guarantees. When Semaphore was
096: # changed to extend this class, it lost its ordering
097: # guarantees. Unfortunately, that made it unfair. There are
098: # rare cases that this can starve a greenlet
099: # (https://github.com/gevent/gevent/issues/1487) and maybe
100: # even lead to deadlock (not tested).
101:
102: # So in gevent 1.5 we go back to maintaining order. But it's
103: # still important not to make duplicate calls, and it's also
104: # important to avoid O(n^2) behaviour that can result from
105: # naive use of a simple list due to the need to handle removed
106: # links in the _notify_links loop. Cython has special support for
107: # built-in sets, lists, and dicts, but not ordereddict. Rather than
108: # use two data structures, or a dict({link: order}), we simply use a
109: # list and remove objects as we go, keeping track of them so as not to
110: # have duplicates called. This makes `unlink` O(n), but we can avoid
111: # calling it in the common case in _wait_core (even so, the number of
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117: # If its false, we only call callbacks as long as ready() returns true.
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122: # need to grab the hub and assign ownership. But we don't want to grab one prematurely.
123: # The example is three threads, the main thread and two worker threads; if we create
124: # a Semaphore in the main thread but only use it in the two threads, if we had grabbed
125: # the main thread's hub, the two worker threads would have a dependency on it, meaning that
126: # if the main event loop is blocked, the worker threads might get blocked too.
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155: pass
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175:
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__pyx_t_2 = (__pyx_v_self->hub == __pyx_v_my_hub);if (__pyx_t_2) {}+190: self.hub = None
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__Pyx_INCREF((PyObject *)__pyx_v_current_hub);__Pyx_GIVEREF((PyObject *)__pyx_v_current_hub);__Pyx_GOTREF((PyObject *)__pyx_v_self->hub);__Pyx_DECREF((PyObject *)__pyx_v_self->hub);__pyx_v_self->hub = __pyx_v_current_hub;
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__pyx_t_4 = (((PyObject *)__pyx_v_self->hub) != Py_None);if (__pyx_t_4) {} else {__pyx_t_2 = __pyx_t_4;goto __pyx_L11_bool_binop_done;}__pyx_t_1 = __Pyx_PyObject_GetAttrStr(((PyObject *)__pyx_v_self->hub), __pyx_n_s_thread_ident); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 205, __pyx_L1_error)__Pyx_GOTREF(__pyx_t_1);__Pyx_INCREF(__pyx_v_6gevent_27_gevent_c_abstract_linkable__get_thread_ident);__pyx_t_5 = __pyx_v_6gevent_27_gevent_c_abstract_linkable__get_thread_ident; __pyx_t_6 = NULL;__pyx_t_7 = 0;if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_5))) {__pyx_t_6 = PyMethod_GET_SELF(__pyx_t_5);if (likely(__pyx_t_6)) {PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_5);__Pyx_INCREF(__pyx_t_6);__Pyx_INCREF(function);__Pyx_DECREF_SET(__pyx_t_5, function);__pyx_t_7 = 1;}}{PyObject *__pyx_callargs[1] = {__pyx_t_6, };__pyx_t_3 = __Pyx_PyObject_FastCall(__pyx_t_5, __pyx_callargs+1-__pyx_t_7, 0+__pyx_t_7);__Pyx_XDECREF(__pyx_t_6); __pyx_t_6 = 0;if (unlikely(!__pyx_t_3)) __PYX_ERR(0, 205, __pyx_L1_error)__Pyx_GOTREF(__pyx_t_3);__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;}__pyx_t_5 = PyObject_RichCompare(__pyx_t_1, __pyx_t_3, Py_NE); __Pyx_XGOTREF(__pyx_t_5); if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 205, __pyx_L1_error)__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;__pyx_t_4 = __Pyx_PyObject_IsTrue(__pyx_t_5); if (unlikely((__pyx_t_4 < 0))) __PYX_ERR(0, 205, __pyx_L1_error)__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;__pyx_t_2 = __pyx_t_4;__pyx_L11_bool_binop_done:;if (unlikely(__pyx_t_2)) {}206: raise InvalidThreadUseError(
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__pyx_t_1 = ((PyObject *)__pyx_f_6gevent_27_gevent_c_abstract_linkable_getcurrent()); if (unlikely(!__pyx_t_1)) __PYX_ERR(0, 209, __pyx_L1_error)__Pyx_GOTREF(__pyx_t_1);__Pyx_INCREF(__pyx_v_6gevent_27_gevent_c_abstract_linkable_InvalidThreadUseError);__pyx_t_6 = __pyx_v_6gevent_27_gevent_c_abstract_linkable_InvalidThreadUseError; __pyx_t_8 = NULL;__pyx_t_7 = 0;if (CYTHON_UNPACK_METHODS && unlikely(PyMethod_Check(__pyx_t_6))) {__pyx_t_8 = PyMethod_GET_SELF(__pyx_t_6);if (likely(__pyx_t_8)) {PyObject* function = PyMethod_GET_FUNCTION(__pyx_t_6);__Pyx_INCREF(__pyx_t_8);__Pyx_INCREF(function);__Pyx_DECREF_SET(__pyx_t_6, function);__pyx_t_7 = 1;}}{PyObject *__pyx_callargs[4] = {__pyx_t_8, ((PyObject *)__pyx_v_self->hub), __pyx_t_3, __pyx_t_1};__pyx_t_5 = __Pyx_PyObject_FastCall(__pyx_t_6, __pyx_callargs+1-__pyx_t_7, 3+__pyx_t_7);__Pyx_XDECREF(__pyx_t_8); __pyx_t_8 = 0;__Pyx_DECREF(__pyx_t_3); __pyx_t_3 = 0;__Pyx_DECREF(__pyx_t_1); __pyx_t_1 = 0;if (unlikely(!__pyx_t_5)) __PYX_ERR(0, 206, __pyx_L1_error)__Pyx_GOTREF(__pyx_t_5);__Pyx_DECREF(__pyx_t_6); __pyx_t_6 = 0;}__Pyx_Raise(__pyx_t_5, 0, 0, 0);__Pyx_DECREF(__pyx_t_5); __pyx_t_5 = 0;__PYX_ERR(0, 206, __pyx_L1_error)
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__Pyx_XDECREF((PyObject *)__pyx_r);__Pyx_INCREF((PyObject *)__pyx_v_self->hub);__pyx_r = __pyx_v_self->hub;goto __pyx_L0;
212:
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+236: def _notify_link_list(self, links):
static PyObject *__pyx_f_6gevent_27_gevent_c_abstract_linkable_16AbstractLinkable__notify_link_list(struct __pyx_obj_6gevent_27_gevent_c_abstract_linkable_AbstractLinkable *__pyx_v_self, PyObject *__pyx_v_links) {int __pyx_v_only_while_ready;PyObject *__pyx_v_final_link = NULL;PyObject *__pyx_v_done = NULL;struct __pyx_obj_6gevent_29_gevent_c_greenlet_primitives_SwitchOutGreenletWithLoop *__pyx_v_hub = NULL;PyObject *__pyx_v_unswitched = NULL;PyObject *__pyx_v_link = NULL;PyObject *__pyx_v_id_link = NULL;PyObject *__pyx_v_traceback = NULL;PyObject *__pyx_r = NULL;__Pyx_RefNannyDeclarations__Pyx_RefNannySetupContext("_notify_link_list", 0);/* function exit code */__pyx_L1_error:;__Pyx_XDECREF(__pyx_t_3);__Pyx_XDECREF(__pyx_t_4);__Pyx_XDECREF(__pyx_t_12);__Pyx_XDECREF(__pyx_t_14);__Pyx_XDECREF(__pyx_t_20);__Pyx_XDECREF(__pyx_t_21);__Pyx_XDECREF(__pyx_t_22);__Pyx_XDECREF(__pyx_t_23);__Pyx_AddTraceback("gevent._gevent_c_abstract_linkable.AbstractLinkable._notify_link_list", __pyx_clineno, __pyx_lineno, __pyx_filename);__pyx_r = 0;__pyx_L0:;__Pyx_XDECREF(__pyx_v_final_link);__Pyx_XDECREF(__pyx_v_done);__Pyx_XDECREF((PyObject *)__pyx_v_hub);__Pyx_XDECREF(__pyx_v_unswitched);__Pyx_XDECREF(__pyx_v_link);__Pyx_XDECREF(__pyx_v_id_link);__Pyx_XDECREF(__pyx_v_traceback);__Pyx_XGIVEREF(__pyx_r);__Pyx_RefNannyFinishContext();return __pyx_r;}237: # The core of the _notify_links method to notify
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246:
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289: # this object. Thus, while we are notifying objects, an object from another
290: # thread simply cannot arrive and mutate ``_links`` or ``arrived_while_waiting``
291:
292: # ``arrived_while_waiting`` is a list of greenlet.switch methods
293: # to call. These were objects that called wait() while we were processing,
294: # and which would have run *before* those that had actually waited
295: # and blocked. Instead of returning True immediately, we add them to this
296: # list so they wait their turn.
297:
298: # We release self._notifier here when done invoking links.
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313: # callback processing. Some of our subclasses (Event) will
314: # want to notify everyone who was registered when the status
315: # became true that it was once true, even though it may not be
316: # any more. In that case, we must not keep notifying anyone that's
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321: # process. Follow the same rules, stop with those that are
322: # added so far to prevent starvation.
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335: # TODO: Maybe we should intelligently reset self.hub to
336: # free up thread affinity? In case of a pathological situation where
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339: #
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349:
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410: 'from', self, '; crossing thread boundaries is not allowed.',
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416: 'gevent: error: '
417: 'This is a result of using gevent objects from multiple threads,',
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static PyObject *__pyx_f_6gevent_27_gevent_c_abstract_linkable_16AbstractLinkable__wait(struct __pyx_obj_6gevent_27_gevent_c_abstract_linkable_AbstractLinkable *__pyx_v_self, struct __pyx_opt_args_6gevent_27_gevent_c_abstract_linkable_16AbstractLinkable__wait *__pyx_optional_args) {PyObject *__pyx_v_timeout = ((PyObject *)Py_None);PyObject *__pyx_v_result = NULL;PyObject *__pyx_v_gotit = NULL;PyObject *__pyx_r = NULL;__Pyx_RefNannyDeclarations__Pyx_RefNannySetupContext("_wait", 0);if (__pyx_optional_args) {if (__pyx_optional_args->__pyx_n > 0) {__pyx_v_timeout = __pyx_optional_args->timeout;}}/* function exit code */__pyx_L1_error:;__Pyx_XDECREF(__pyx_t_1);__Pyx_AddTraceback("gevent._gevent_c_abstract_linkable.AbstractLinkable._wait", __pyx_clineno, __pyx_lineno, __pyx_filename);__pyx_r = 0;__pyx_L0:;__Pyx_XDECREF(__pyx_v_result);__Pyx_XDECREF(__pyx_v_gotit);__Pyx_XGIVEREF(__pyx_r);__Pyx_RefNannyFinishContext();return __pyx_r;}508: # Watch where we could potentially release the GIL.
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510:
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520:
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523:
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525: """
526: This method was added in Python 3.9 and is called by logging.py
527: ``_after_at_fork_child_reinit_locks`` on Lock objects.
528:
529: It is also called from threading.py, ``_after_fork`` in
530: ``_reset_internal_locks``, and that can hit ``Event`` objects.
531:
532: Subclasses should reset themselves to an initial state. This
533: includes unlocking/releasing, if possible. This method detaches from the
534: previous hub and drops any existing notifier.
535: """
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__Pyx_INCREF(Py_None);__Pyx_GIVEREF(Py_None);__Pyx_GOTREF((PyObject *)__pyx_v_self->hub);__Pyx_DECREF((PyObject *)__pyx_v_self->hub);__pyx_v_self->hub = ((struct __pyx_obj_6gevent_29_gevent_c_greenlet_primitives_SwitchOutGreenletWithLoop *)Py_None);
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541:
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543:
544:
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