mirror of https://github.com/python/cpython.git
bpo-31370: Remove references to threadless builds (#8805)
Support for threadless builds was removed in a6a4dc81
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@ -842,18 +842,18 @@ code, or when embedding the Python interpreter:
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.. c:function:: PyThreadState* PyEval_SaveThread()
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.. c:function:: PyThreadState* PyEval_SaveThread()
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Release the global interpreter lock (if it has been created and thread
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Release the global interpreter lock (if it has been created) and reset the
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support is enabled) and reset the thread state to *NULL*, returning the
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thread state to *NULL*, returning the previous thread state (which is not
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previous thread state (which is not *NULL*). If the lock has been created,
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*NULL*). If the lock has been created, the current thread must have
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the current thread must have acquired it.
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acquired it.
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.. c:function:: void PyEval_RestoreThread(PyThreadState *tstate)
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.. c:function:: void PyEval_RestoreThread(PyThreadState *tstate)
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Acquire the global interpreter lock (if it has been created and thread
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Acquire the global interpreter lock (if it has been created) and set the
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support is enabled) and set the thread state to *tstate*, which must not be
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thread state to *tstate*, which must not be *NULL*. If the lock has been
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*NULL*. If the lock has been created, the current thread must not have
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created, the current thread must not have acquired it, otherwise deadlock
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acquired it, otherwise deadlock ensues.
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ensues.
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.. c:function:: PyThreadState* PyThreadState_Get()
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.. c:function:: PyThreadState* PyThreadState_Get()
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@ -11,9 +11,7 @@
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The :mod:`queue` module implements multi-producer, multi-consumer queues.
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The :mod:`queue` module implements multi-producer, multi-consumer queues.
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It is especially useful in threaded programming when information must be
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It is especially useful in threaded programming when information must be
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exchanged safely between multiple threads. The :class:`Queue` class in this
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exchanged safely between multiple threads. The :class:`Queue` class in this
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module implements all the required locking semantics. It depends on the
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module implements all the required locking semantics.
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availability of thread support in Python; see the :mod:`threading`
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module.
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The module implements three types of queue, which differ only in the order in
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The module implements three types of queue, which differ only in the order in
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which the entries are retrieved. In a :abbr:`FIFO (first-in, first-out)`
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which the entries are retrieved. In a :abbr:`FIFO (first-in, first-out)`
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@ -30,9 +30,6 @@
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_multiprocessing = test.support.import_module('_multiprocessing')
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_multiprocessing = test.support.import_module('_multiprocessing')
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# Skip tests if sem_open implementation is broken.
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# Skip tests if sem_open implementation is broken.
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test.support.import_module('multiprocessing.synchronize')
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test.support.import_module('multiprocessing.synchronize')
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# import threading after _multiprocessing to raise a more relevant error
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# message: "No module named _multiprocessing". _multiprocessing is not compiled
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# without thread support.
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import threading
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import threading
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import multiprocessing.connection
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import multiprocessing.connection
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@ -237,7 +237,7 @@ PyEval_ReInitThreads(void)
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}
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}
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/* This function is used to signal that async exceptions are waiting to be
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/* This function is used to signal that async exceptions are waiting to be
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raised, therefore it is also useful in non-threaded builds. */
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raised. */
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void
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void
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_PyEval_SignalAsyncExc(void)
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_PyEval_SignalAsyncExc(void)
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@ -245,10 +245,6 @@ _PyEval_SignalAsyncExc(void)
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SIGNAL_ASYNC_EXC();
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SIGNAL_ASYNC_EXC();
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}
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}
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/* Functions save_thread and restore_thread are always defined so
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dynamically loaded modules needn't be compiled separately for use
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with and without threads: */
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PyThreadState *
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PyThreadState *
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PyEval_SaveThread(void)
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PyEval_SaveThread(void)
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{
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{
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