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faster-cpython
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cpython
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stackref-not-null
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cpython
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cpython
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pythread.h
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43 lines (37 loc) · 1.48 KB
stackref-not-null
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cpython
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cpython
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pythread.h
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#ifndef
Py_CPYTHON_PYTHREAD_H
# error
"this header file must not be included directly"
#endif
// PY_TIMEOUT_MAX is the highest usable value (in microseconds) of PY_TIMEOUT_T
// type, and depends on the system threading API.
//
// NOTE: this isn't the same value as `_thread.TIMEOUT_MAX`. The _thread module
// exposes a higher-level API, with timeouts expressed in seconds and
// floating-point numbers allowed.
PyAPI_DATA
(
const
long long
)
PY_TIMEOUT_MAX
;
#define
PYTHREAD_INVALID_THREAD_ID
((unsigned long)-1)
#ifdef
HAVE_PTHREAD_H
/* Darwin needs pthread.h to know type name the pthread_key_t. */
# include
<pthread.h>
# define
NATIVE_TSS_KEY_T
pthread_key_t
#elif
defined(
NT_THREADS
)
/* In Windows, native TSS key type is DWORD,
but hardcode the unsigned long to avoid errors for include directive.
*/
# define
NATIVE_TSS_KEY_T
unsigned long
#elif
defined(
HAVE_PTHREAD_STUBS
)
# include
"cpython/pthread_stubs.h"
# define
NATIVE_TSS_KEY_T
pthread_key_t
#else
# error
"Require native threads. See https://bugs.python.org/issue31370"
#endif
/* When Py_LIMITED_API is not defined, the type layout of Py_tss_t is
exposed to allow static allocation in the API clients. Even in this case,
you must handle TSS keys through API functions due to compatibility.
*/
struct
_Py_tss_t
{
int
_is_initialized
;
NATIVE_TSS_KEY_T
_key
;
};
#undef
NATIVE_TSS_KEY_T
/* When static allocation, you must initialize with Py_tss_NEEDS_INIT. */
#define
Py_tss_NEEDS_INIT
{0}
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