/*-*- mode:c;indent-tabs-mode:nil;c-basic-offset:4;tab-width:8;coding:utf-8 -*-│ │vi: set net ft=c ts=4 sts=4 sw=4 fenc=utf-8 :vi│ ╞══════════════════════════════════════════════════════════════════════════════╡ │ Python 3 │ │ https://docs.python.org/3/license.html │ ╚─────────────────────────────────────────────────────────────────────────────*/ #include "libc/assert.h" #include "third_party/python/Include/pyerrors.h" #include "third_party/python/Include/pymacro.h" #include "third_party/python/Include/pymem.h" #include "third_party/python/Include/pythread.h" #include "third_party/python/Include/structseq.h" /* clang-format off */ /* Thread package. This is intended to be usable independently from Python. The implementation for system foobar is in a file thread_foobar.inc which is included by this file dependent on config settings. Stuff shared by all thread_*.h files is collected here. */ #ifndef _POSIX_THREADS /* Check if we're running on HP-UX and _SC_THREADS is defined. If so, then enough of the Posix threads package is implemented to support python threads. This is valid for HP-UX 11.23 running on an ia64 system. If needed, add a check of __ia64 to verify that we're running on an ia64 system instead of a pa-risc system. */ #ifdef __hpux #ifdef _SC_THREADS #define _POSIX_THREADS #endif #endif #endif /* _POSIX_THREADS */ #ifdef Py_DEBUG static int thread_debug = 0; #define dprintf(args) (void)((thread_debug & 1) && printf args) #define d2printf(args) ((thread_debug & 8) && printf args) #else #define dprintf(args) #define d2printf(args) #endif static int initialized; static void PyThread__init_thread(void); /* Forward */ void PyThread_init_thread(void) { #ifdef Py_DEBUG char *p = Py_GETENV("PYTHONTHREADDEBUG"); if (p) { if (*p) thread_debug = atoi(p); else thread_debug = 1; } #endif /* Py_DEBUG */ if (initialized) return; initialized = 1; dprintf(("PyThread_init_thread called\n")); PyThread__init_thread(); } /* Support for runtime thread stack size tuning. A value of 0 means using the platform's default stack size or the size specified by the THREAD_STACK_SIZE macro. */ static size_t _pythread_stacksize = 0; #ifdef _POSIX_THREADS #define PYTHREAD_NAME "pthread" #include "thread_pthread.inc" #endif #ifdef NT_THREADS #define PYTHREAD_NAME "nt" #include "thread_nt.inc" #endif /* #ifdef FOOBAR_THREADS #include "thread_foobar.inc" #endif */ /* return the current thread stack size */ size_t PyThread_get_stacksize(void) { return _pythread_stacksize; } /* Only platforms defining a THREAD_SET_STACKSIZE() macro in thread_.h support changing the stack size. Return 0 if stack size is valid, -1 if stack size value is invalid, -2 if setting stack size is not supported. */ int PyThread_set_stacksize(size_t size) { #if defined(THREAD_SET_STACKSIZE) return THREAD_SET_STACKSIZE(size); #else return -2; #endif } #ifndef Py_HAVE_NATIVE_TLS /* If the platform has not supplied a platform specific TLS implementation, provide our own. This code stolen from "thread_sgi.h", where it was the only implementation of an existing Python TLS API. */ /* ------------------------------------------------------------------------ Per-thread data ("key") support. Use PyThread_create_key() to create a new key. This is typically shared across threads. Use PyThread_set_key_value(thekey, value) to associate void* value with thekey in the current thread. Each thread has a distinct mapping of thekey to a void* value. Caution: if the current thread already has a mapping for thekey, value is ignored. Use PyThread_get_key_value(thekey) to retrieve the void* value associated with thekey in the current thread. This returns NULL if no value is associated with thekey in the current thread. Use PyThread_delete_key_value(thekey) to forget the current thread's associated value for thekey. PyThread_delete_key(thekey) forgets the values associated with thekey across *all* threads. While some of these functions have error-return values, none set any Python exception. None of the functions does memory management on behalf of the void* values. You need to allocate and deallocate them yourself. If the void* values happen to be PyObject*, these functions don't do refcount operations on them either. The GIL does not need to be held when calling these functions; they supply their own locking. This isn't true of PyThread_create_key(), though (see next paragraph). There's a hidden assumption that PyThread_create_key() will be called before any of the other functions are called. There's also a hidden assumption that calls to PyThread_create_key() are serialized externally. ------------------------------------------------------------------------ */ /* A singly-linked list of struct key objects remembers all the key->value * associations. File static keyhead heads the list. keymutex is used * to enforce exclusion internally. */ struct key { /* Next record in the list, or NULL if this is the last record. */ struct key *next; /* The thread id, according to PyThread_get_thread_ident(). */ long id; /* The key and its associated value. */ int key; void *value; }; static struct key *keyhead = NULL; static PyThread_type_lock keymutex = NULL; static int nkeys = 0; /* PyThread_create_key() hands out nkeys+1 next */ /* Internal helper. * If the current thread has a mapping for key, the appropriate struct key* * is returned. NB: value is ignored in this case! * If there is no mapping for key in the current thread, then: * If value is NULL, NULL is returned. * Else a mapping of key to value is created for the current thread, * and a pointer to a new struct key* is returned; except that if * malloc() can't find room for a new struct key*, NULL is returned. * So when value==NULL, this acts like a pure lookup routine, and when * value!=NULL, this acts like dict.setdefault(), returning an existing * mapping if one exists, else creating a new mapping. * * Caution: this used to be too clever, trying to hold keymutex only * around the "p->next = keyhead; keyhead = p" pair. That allowed * another thread to mutate the list, via key deletion, concurrent with * find_key() crawling over the list. Hilarity ensued. For example, when * the for-loop here does "p = p->next", p could end up pointing at a * record that PyThread_delete_key_value() was concurrently free()'ing. * That could lead to anything, from failing to find a key that exists, to * segfaults. Now we lock the whole routine. */ static struct key * find_key(int set_value, int key, void *value) { struct key *p, *prev_p; long id = PyThread_get_thread_ident(); if (!keymutex) return NULL; PyThread_acquire_lock(keymutex, 1); prev_p = NULL; for (p = keyhead; p != NULL; p = p->next) { if (p->id == id && p->key == key) { if (set_value) p->value = value; goto Done; } /* Sanity check. These states should never happen but if * they do we must abort. Otherwise we'll end up spinning * in a tight loop with the lock held. A similar check is done * in pystate.c tstate_delete_common(). */ if (p == prev_p) Py_FatalError("tls find_key: small circular list(!)"); prev_p = p; if (p->next == keyhead) Py_FatalError("tls find_key: circular list(!)"); } if (!set_value && value == NULL) { assert(p == NULL); goto Done; } p = (struct key *)PyMem_RawMalloc(sizeof(struct key)); if (p != NULL) { p->id = id; p->key = key; p->value = value; p->next = keyhead; keyhead = p; } Done: PyThread_release_lock(keymutex); return p; } /* Return a new key. This must be called before any other functions in * this family, and callers must arrange to serialize calls to this * function. No violations are detected. */ int PyThread_create_key(void) { /* All parts of this function are wrong if it's called by multiple * threads simultaneously. */ if (keymutex == NULL) keymutex = PyThread_allocate_lock(); return ++nkeys; } /* Forget the associations for key across *all* threads. */ void PyThread_delete_key(int key) { struct key *p, **q; PyThread_acquire_lock(keymutex, 1); q = &keyhead; while ((p = *q) != NULL) { if (p->key == key) { *q = p->next; PyMem_RawFree((void *)p); /* NB This does *not* free p->value! */ } else q = &p->next; } PyThread_release_lock(keymutex); } int PyThread_set_key_value(int key, void *value) { struct key *p; p = find_key(1, key, value); if (p == NULL) return -1; else return 0; } /* Retrieve the value associated with key in the current thread, or NULL * if the current thread doesn't have an association for key. */ void * PyThread_get_key_value(int key) { struct key *p = find_key(0, key, NULL); if (p == NULL) return NULL; else return p->value; } /* Forget the current thread's association for key, if any. */ void PyThread_delete_key_value(int key) { long id = PyThread_get_thread_ident(); struct key *p, **q; PyThread_acquire_lock(keymutex, 1); q = &keyhead; while ((p = *q) != NULL) { if (p->key == key && p->id == id) { *q = p->next; PyMem_RawFree((void *)p); /* NB This does *not* free p->value! */ break; } else q = &p->next; } PyThread_release_lock(keymutex); } /* Forget everything not associated with the current thread id. * This function is called from PyOS_AfterFork(). It is necessary * because other thread ids which were in use at the time of the fork * may be reused for new threads created in the forked process. */ void PyThread_ReInitTLS(void) { long id = PyThread_get_thread_ident(); struct key *p, **q; if (!keymutex) return; /* As with interpreter_lock in PyEval_ReInitThreads() we just create a new lock without freeing the old one */ keymutex = PyThread_allocate_lock(); /* Delete all keys which do not match the current thread id */ q = &keyhead; while ((p = *q) != NULL) { if (p->id != id) { *q = p->next; PyMem_RawFree((void *)p); /* NB This does *not* free p->value! */ } else q = &p->next; } } #endif /* Py_HAVE_NATIVE_TLS */ PyDoc_STRVAR(threadinfo__doc__, "sys.thread_info\n\ \n\ A struct sequence holding information about the thread implementation."); static PyStructSequence_Field threadinfo_fields[] = { {"name", PyDoc_STR("name of the thread implementation")}, {"lock", PyDoc_STR("name of the lock implementation")}, {"version", PyDoc_STR("name and version of the thread library")}, {0} }; static PyStructSequence_Desc threadinfo_desc = { "sys.thread_info", /* name */ threadinfo__doc__, /* doc */ threadinfo_fields, /* fields */ 3 }; static PyTypeObject ThreadInfoType; PyObject* PyThread_GetInfo(void) { PyObject *threadinfo, *value; int pos = 0; #if (defined(_POSIX_THREADS) && defined(HAVE_CONFSTR) \ && defined(_CS_GNU_LIBPTHREAD_VERSION)) char buffer[255]; int len; #endif if (ThreadInfoType.tp_name == 0) { if (PyStructSequence_InitType2(&ThreadInfoType, &threadinfo_desc) < 0) return NULL; } threadinfo = PyStructSequence_New(&ThreadInfoType); if (threadinfo == NULL) return NULL; value = PyUnicode_FromString(PYTHREAD_NAME); if (value == NULL) { Py_DECREF(threadinfo); return NULL; } PyStructSequence_SET_ITEM(threadinfo, pos++, value); #ifdef _POSIX_THREADS #ifdef USE_SEMAPHORES value = PyUnicode_FromString("semaphore"); #else value = PyUnicode_FromString("mutex+cond"); #endif if (value == NULL) { Py_DECREF(threadinfo); return NULL; } #else Py_INCREF(Py_None); value = Py_None; #endif PyStructSequence_SET_ITEM(threadinfo, pos++, value); #if (defined(_POSIX_THREADS) && defined(HAVE_CONFSTR) \ && defined(_CS_GNU_LIBPTHREAD_VERSION)) value = NULL; len = confstr(_CS_GNU_LIBPTHREAD_VERSION, buffer, sizeof(buffer)); if (1 < len && (size_t)len < sizeof(buffer)) { value = PyUnicode_DecodeFSDefaultAndSize(buffer, len-1); if (value == NULL) PyErr_Clear(); } if (value == NULL) #endif { Py_INCREF(Py_None); value = Py_None; } PyStructSequence_SET_ITEM(threadinfo, pos++, value); return threadinfo; }