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This article mainly explains "how to apply python multithreading". Interested friends may wish to have a look. The method introduced in this paper is simple, fast and practical. Let's let the editor take you to learn how to use python multithreading.

First, first define a wrapper class, mainly to ensure the pairing of PyGILState_Ensure and PyGILState_Release, and this class can be used in nesting.

# include class PyThreadStateLock {public: PyThreadStateLock (void) {state = PyGILState_Ensure ();} ~ PyThreadStateLock (void) {PyGILState_Release (state);} private: PyGILState_STATE state;}

Second, in the main thread, handle the

/ / initialize

Py_Initialize ()

/ / initialize thread support

PyEval_InitThreads ()

/ / execute before starting the child thread, in order to release the global lock acquired by PyEval_InitThreads, otherwise the child thread may not be able to acquire the global lock.

PyEval_ReleaseThread (PyThreadState_Get ())

/ / other processing, such as startup child threads, etc.

.

/ / ensure that after all the child thread calls are finished

PyGILState_Ensure ()

Py_Finalize ()

/ / No API of python can be called after that

At this point, I believe you have a deeper understanding of "how to apply python multithreading". You might as well come to the actual operation. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!

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