| #ifndef Py_CPYTHON_CRITICAL_SECTION_H | |
| # error "this header file must not be included directly" | |
| #endif | |
| // Straightforward per-object locking could introduce deadlocks that were not | |
| // present when running with the GIL. Threads may hold locks for multiple | |
| // objects simultaneously because Python operations can nest. If threads were | |
| // to acquire the same locks in different orders, they would deadlock. | |
| // | |
| // One way to avoid deadlocks is to allow threads to hold only the lock (or | |
| // locks) for a single operation at a time (typically a single lock, but some | |
| // operations involve two locks). When a thread begins a nested operation it | |
| // could suspend the locks for any outer operation: before beginning the nested | |
| // operation, the locks for the outer operation are released and when the | |
| // nested operation completes, the locks for the outer operation are | |
| // reacquired. | |
| // | |
| // To improve performance, this API uses a variation of the above scheme. | |
| // Instead of immediately suspending locks any time a nested operation begins, | |
| // locks are only suspended if the thread would block. This reduces the number | |
| // of lock acquisitions and releases for nested operations, while still | |
| // avoiding deadlocks. | |
| // | |
| // Additionally, the locks for any active operation are suspended around | |
| // other potentially blocking operations, such as I/O. This is because the | |
| // interaction between locks and blocking operations can lead to deadlocks in | |
| // the same way as the interaction between multiple locks. | |
| // | |
| // Each thread's critical sections and their corresponding locks are tracked in | |
| // a stack in `PyThreadState.critical_section`. When a thread calls | |
| // `_PyThreadState_Detach()`, such as before a blocking I/O operation or when | |
| // waiting to acquire a lock, the thread suspends all of its active critical | |
| // sections, temporarily releasing the associated locks. When the thread calls | |
| // `_PyThreadState_Attach()`, it resumes the top-most (i.e., most recent) | |
| // critical section by reacquiring the associated lock or locks. See | |
| // `_PyCriticalSection_Resume()`. | |
| PyAPI_FUNC(void) | |
| PyCriticalSection_BeginMutex(PyCriticalSection *c, PyMutex *m); | |
| PyAPI_FUNC(void) | |
| PyCriticalSection2_BeginMutex(PyCriticalSection2 *c, PyMutex *m1, PyMutex *m2); | |
| #ifndef Py_GIL_DISABLED | |
| #undef Py_BEGIN_CRITICAL_SECTION | |
| #undef Py_END_CRITICAL_SECTION | |
| #undef Py_BEGIN_CRITICAL_SECTION2 | |
| #undef Py_END_CRITICAL_SECTION2 | |
| # define Py_BEGIN_CRITICAL_SECTION(op) \ | |
| { | |
| # define Py_BEGIN_CRITICAL_SECTION_MUTEX(mutex) \ | |
| { | |
| # define Py_END_CRITICAL_SECTION() \ | |
| } | |
| # define Py_BEGIN_CRITICAL_SECTION2(a, b) \ | |
| { | |
| # define Py_BEGIN_CRITICAL_SECTION2_MUTEX(m1, m2) \ | |
| { | |
| # define Py_END_CRITICAL_SECTION2() \ | |
| } | |
| #else /* !Py_GIL_DISABLED */ | |
| # define Py_BEGIN_CRITICAL_SECTION_MUTEX(mutex) \ | |
| { \ | |
| PyCriticalSection _py_cs; \ | |
| PyCriticalSection_BeginMutex(&_py_cs, mutex) | |
| # define Py_BEGIN_CRITICAL_SECTION2_MUTEX(m1, m2) \ | |
| { \ | |
| PyCriticalSection2 _py_cs2; \ | |
| PyCriticalSection2_BeginMutex(&_py_cs2, m1, m2) | |
| #endif /* !Py_GIL_DISABLED */ |