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