Thread states and the global interpreter lock
*********************************************

Unless on a *free-threaded build* of *CPython*, the Python interpreter
is generally not thread-safe.  In order to support multi-threaded
Python programs, there's a global lock, called the *global interpreter
lock* or *GIL*, that must be held by a thread before accessing Python
objects. Without the lock, even the simplest operations could cause
problems in a multi-threaded program: for example, when two threads
simultaneously increment the reference count of the same object, the
reference count could end up being incremented only once instead of
twice.

As such, only a thread that holds the GIL may operate on Python
objects or invoke Python's C API.

In order to emulate concurrency, the interpreter regularly tries to
switch threads between bytecode instructions (see
"sys.setswitchinterval()"). This is why locks are also necessary for
thread-safety in pure-Python code.

Additionally, the global interpreter lock is released around blocking
I/O operations, such as reading or writing to a file. From the C API,
this is done by detaching the thread state.

The Python interpreter keeps some thread-local information inside a
data structure called "PyThreadState", known as a *thread state*. Each
thread has a thread-local pointer to a "PyThreadState"; a thread state
referenced by this pointer is considered to be *attached*.

A thread can only have one *attached thread state* at a time. An
attached thread state is typically analogous with holding the GIL,
except on free-threaded builds.  On builds with the GIL enabled,
attaching a thread state will block until the GIL can be acquired.
However, even on builds with the GIL disabled, it is still required to
have an attached thread state, as the interpreter needs to keep track
of which threads may access Python objects.

注釈:

  Even on the free-threaded build, attaching a thread state may block,
  as the GIL can be re-enabled or threads might be temporarily
  suspended (such as during a garbage collection).

Generally, there will always be an attached thread state when using
Python's C API, including during embedding and when implementing
methods, so it's uncommon to need to set up a thread state on your
own. Only in some specific cases, such as in a
"Py_BEGIN_ALLOW_THREADS" block or in a fresh thread, will the thread
not have an attached thread state. If uncertain, check if
"PyThreadState_GetUnchecked()" returns "NULL".

If it turns out that you do need to create a thread state, call
"PyThreadState_New()" followed by "PyThreadState_Swap()", or use the
dangerous "PyGILState_Ensure()" function.


Detaching the thread state from extension code
==============================================

Most extension code manipulating the *thread state* has the following
simple structure:

   Save the thread state in a local variable.
   ... Do some blocking I/O operation ...
   Restore the thread state from the local variable.

この構造は非常に一般的なので、作業を単純にするために2つのマクロが用意
されています:

   Py_BEGIN_ALLOW_THREADS
   ... Do some blocking I/O operation ...
   Py_END_ALLOW_THREADS

"Py_BEGIN_ALLOW_THREADS" マクロは新たなブロックを開始し、隠しローカル
変数を宣言します; "Py_END_ALLOW_THREADS" はブロックを閉じます。

上のブロックは次のコードに展開されます:

   PyThreadState *_save;

   _save = PyEval_SaveThread();
   ... Do some blocking I/O operation ...
   PyEval_RestoreThread(_save);

Here is how these functions work:

The attached thread state implies that the GIL is held for the
interpreter. To detach it, "PyEval_SaveThread()" is called and the
result is stored in a local variable.

By detaching the thread state, the GIL is released, which allows other
threads to attach to the interpreter and execute while the current
thread performs blocking I/O. When the I/O operation is complete, the
old thread state is reattached by calling "PyEval_RestoreThread()",
which will wait until the GIL can be acquired.

注釈:

  Performing blocking I/O is the most common use case for detaching
  the thread state, but it is also useful to call it over long-running
  native code that doesn't need access to Python objects or Python's C
  API. For example, the standard "zlib" and "hashlib" modules detach
  the *thread state* when compressing or hashing data.

On a *free-threaded build*, the *GIL* is usually out of the question,
but **detaching the thread state is still required**, because the
interpreter periodically needs to block all threads to get a
consistent view of Python objects without the risk of race conditions.
For example, CPython currently suspends all threads for a short period
of time while running the garbage collector.

警告:

  Detaching the thread state can lead to unexpected behavior during
  interpreter finalization. See Cautions regarding runtime
  finalization for more details.


APIs
----

以下のマクロは、通常末尾にセミコロンを付けずに使います; Python ソース
配布物内の使用例を見てください。

注釈:

  These macros are still necessary on the *free-threaded build* to
  prevent deadlocks.

Py_BEGIN_ALLOW_THREADS
    * 次に属します: Stable ABI.*

   このマクロを展開すると "{ PyThreadState *_save; _save =
   PyEval_SaveThread();" になります。マクロに開き波括弧が入っているこ
   とに注意してください; この波括弧は後で "Py_END_ALLOW_THREADS" マク
   ロと対応させなければなりません。マクロについての詳しい議論は上記を
   参照してください。

Py_END_ALLOW_THREADS
    * 次に属します: Stable ABI.*

   このマクロを展開すると "PyEval_RestoreThread(_save); }" になります
   。マクロに開き波括弧が入っていることに注意してください; この波括弧
   は事前の "Py_BEGIN_ALLOW_THREADS" マクロと対応していなければなりま
   せん。マクロについての詳しい議論は上記を参照してください。

Py_BLOCK_THREADS
    * 次に属します: Stable ABI.*

   このマクロを展開すると "PyEval_RestoreThread(_save);" になります:
   閉じ波括弧のない "Py_END_ALLOW_THREADS" と同じです。

Py_UNBLOCK_THREADS
    * 次に属します: Stable ABI.*

   このマクロを展開すると "_save = PyEval_SaveThread();" になります:
   開き波括弧のない "Py_BEGIN_ALLOW_THREADS" と同じです。


Python 以外で作られたスレッド
=============================

When threads are created using the dedicated Python APIs (such as the
"threading" module), a thread state is automatically associated with
them, However, when a thread is created from native code (for example,
by a third-party library with its own thread management), it doesn't
hold an attached thread state.

If you need to call Python code from these threads (often this will be
part of a callback API provided by the aforementioned third-party
library), you must first register these threads with the interpreter
by creating a new thread state and attaching it.

The most robust way to do this is through "PyThreadState_New()"
followed by "PyThreadState_Swap()".

注釈:

  "PyThreadState_New" requires an argument pointing to the desired
  interpreter; such a pointer can be acquired via a call to
  "PyInterpreterState_Get()" from the code where the thread was
  created.

例えば:

   /* The return value of PyInterpreterState_Get() from the
      function that created this thread. */
   PyInterpreterState *interp = thread_data->interp;

   /* Create a new thread state for the interpreter. It does not start out
      attached. */
   PyThreadState *tstate = PyThreadState_New(interp);

   /* Attach the thread state, which will acquire the GIL. */
   PyThreadState_Swap(tstate);

   /* Perform Python actions here. */
   result = CallSomeFunction();
   /* evaluate result or handle exception */

   /* Destroy the thread state. No Python API allowed beyond this point. */
   PyThreadState_Clear(tstate);
   PyThreadState_DeleteCurrent();

警告:

  If the interpreter finalized before "PyThreadState_Swap" was called,
  then "interp" will be a dangling pointer!


Legacy API
==========

Another common pattern to call Python code from a non-Python thread is
to use "PyGILState_Ensure()" followed by a call to
"PyGILState_Release()".

These functions do not work well when multiple interpreters exist in
the Python process. If no Python interpreter has ever been used in the
current thread (which is common for threads created outside Python),
"PyGILState_Ensure" will create and attach a thread state for the
"main" interpreter (the first interpreter in the Python process).

Additionally, these functions have thread-safety issues during
interpreter finalization. Using "PyGILState_Ensure" during
finalization will likely crash the process.

Usage of these functions look like such:

   PyGILState_STATE gstate;
   gstate = PyGILState_Ensure();

   /* Perform Python actions here. */
   result = CallSomeFunction();
   /* evaluate result or handle exception */

   /* Release the thread. No Python API allowed beyond this point. */
   PyGILState_Release(gstate);


Cautions about fork()
=====================

Another important thing to note about threads is their behaviour in
the face of the C "fork()" call. On most systems with "fork()", after
a process forks only the thread that issued the fork will exist.  This
has a concrete impact both on how locks must be handled and on all
stored state in CPython's runtime.

The fact that only the "current" thread remains means any locks held
by other threads will never be released. Python solves this for
"os.fork()" by acquiring the locks it uses internally before the fork,
and releasing them afterwards. In addition, it resets any Lock objects
in the child. When extending or embedding Python, there is no way to
inform Python of additional (non-Python) locks that need to be
acquired before or reset after a fork. OS facilities such as
"pthread_atfork()" would need to be used to accomplish the same thing.
Additionally, when extending or embedding Python, calling "fork()"
directly rather than through "os.fork()" (and returning to or calling
into Python) may result in a deadlock by one of Python's internal
locks being held by a thread that is defunct after the fork.
"PyOS_AfterFork_Child()" tries to reset the necessary locks, but is
not always able to.

The fact that all other threads go away also means that CPython's
runtime state there must be cleaned up properly, which "os.fork()"
does.  This means finalizing all other "PyThreadState" objects
belonging to the current interpreter and all other
"PyInterpreterState" objects.  Due to this and the special nature of
the "main" interpreter, "fork()" should only be called in that
interpreter's "main" thread, where the CPython global runtime was
originally initialized. The only exception is if "exec()" will be
called immediately after.


高水準 API
==========

These are the most commonly used types and functions when writing
multi-threaded C extensions.

type PyThreadState
    * 次に属します: Limited API (不透明な構造体として).*

   This data structure represents the state of a single thread.  The
   only public data member is:

   PyInterpreterState *interp

      This thread's interpreter state.

void PyEval_InitThreads()
    * 次に属します: Stable ABI.*

   Deprecated function which does nothing.

   In Python 3.6 and older, this function created the GIL if it didn't
   exist.

   バージョン 3.9 で変更: The function now does nothing.

   バージョン 3.7 で変更: この関数は "Py_Initialize()" から呼び出され
   るようになり、わざわざ呼び出す必要はもう無くなりました。

   バージョン 3.2 で変更: この関数は "Py_Initialize()" より前に呼び出
   すことができなくなりました。

   バージョン 3.9 で非推奨.

PyThreadState *PyEval_SaveThread()
    * 次に属します: Stable ABI.*

   Detach the *attached thread state* and return it. The thread will
   have no *thread state* upon returning.

void PyEval_RestoreThread(PyThreadState *tstate)
    * 次に属します: Stable ABI.*

   Set the *attached thread state* to *tstate*. The passed *thread
   state* **should not** be *attached*, otherwise deadlock ensues.
   *tstate* will be attached upon returning.

   注釈:

     Calling this function from a thread when the runtime is
     finalizing will hang the thread until the program exits, even if
     the thread was not created by Python.  Refer to Cautions
     regarding runtime finalization for more details.

   バージョン 3.14 で変更: Hangs the current thread, rather than
   terminating it, if called while the interpreter is finalizing.

PyThreadState *PyThreadState_Get()
    * 次に属します: Stable ABI.*

   Return the *attached thread state*. If the thread has no attached
   thread state, (such as when inside of "Py_BEGIN_ALLOW_THREADS"
   block), then this issues a fatal error (so that the caller needn't
   check for "NULL").

   See also "PyThreadState_GetUnchecked()".

PyThreadState *PyThreadState_GetUnchecked()

   Similar to "PyThreadState_Get()", but don't kill the process with a
   fatal error if it is NULL. The caller is responsible to check if
   the result is NULL.

   Added in version 3.13: In Python 3.5 to 3.12, the function was
   private and known as "_PyThreadState_UncheckedGet()".

PyThreadState *PyThreadState_Swap(PyThreadState *tstate)
    * 次に属します: Stable ABI.*

   Set the *attached thread state* to *tstate*, and return the *thread
   state* that was attached prior to calling.

   This function is safe to call without an *attached thread state*;
   it will simply return "NULL" indicating that there was no prior
   thread state.

   参考: "PyEval_ReleaseThread()"

   注釈:

     Similar to "PyGILState_Ensure()", this function will hang the
     thread if the runtime is finalizing.


GIL-state APIs
==============

以下の関数はスレッドローカルストレージを利用していて、サブインタプリタ
との互換性がありません:

type PyGILState_STATE
    * 次に属します: Stable ABI.*

   The type of the value returned by "PyGILState_Ensure()" and passed
   to "PyGILState_Release()".

   enumerator PyGILState_LOCKED

      The GIL was already held when "PyGILState_Ensure()" was called.

   enumerator PyGILState_UNLOCKED

      The GIL was not held when "PyGILState_Ensure()" was called.

PyGILState_STATE PyGILState_Ensure()
    * 次に属します: Stable ABI.*

   Ensure that the current thread is ready to call the Python C API
   regardless of the current state of Python, or of the *attached
   thread state*. This may be called as many times as desired by a
   thread as long as each call is matched with a call to
   "PyGILState_Release()". In general, other thread-related APIs may
   be used between "PyGILState_Ensure()" and "PyGILState_Release()"
   calls as long as the thread state is restored to its previous state
   before the Release().  For example, normal usage of the
   "Py_BEGIN_ALLOW_THREADS" and "Py_END_ALLOW_THREADS" macros is
   acceptable.

   The return value is an opaque "handle" to the *attached thread
   state* when "PyGILState_Ensure()" was called, and must be passed to
   "PyGILState_Release()" to ensure Python is left in the same state.
   Even though recursive calls are allowed, these handles *cannot* be
   shared - each unique call to "PyGILState_Ensure()" must save the
   handle for its call to "PyGILState_Release()".

   When the function returns, there will be an *attached thread state*
   and the thread will be able to call arbitrary Python code.  Failure
   is a fatal error.

   警告:

     Calling this function when the runtime is finalizing is unsafe.
     Doing so will either hang the thread until the program ends, or
     fully crash the interpreter in rare cases. Refer to Cautions
     regarding runtime finalization for more details.

   バージョン 3.14 で変更: Hangs the current thread, rather than
   terminating it, if called while the interpreter is finalizing.

void PyGILState_Release(PyGILState_STATE)
    * 次に属します: Stable ABI.*

   獲得したすべてのリソースを解放します。この関数を呼び出すと、Python
   の状態は対応する "PyGILState_Ensure()" を呼び出す前と同じとなります
   (通常、この状態は呼び出し元でははわかりませんので、GILState APIを利
   用するようにしてください)。

   "PyGILState_Ensure()" を呼び出す場合は、必ず同一スレッド内で対応す
   る "PyGILState_Release()" を呼び出してください。

PyThreadState *PyGILState_GetThisThreadState()
    * 次に属します: Stable ABI.*

   Get the *attached thread state* for this thread.  May return "NULL"
   if no GILState API has been used on the current thread.  Note that
   the main thread always has such a thread-state, even if no auto-
   thread-state call has been made on the main thread.  This is mainly
   a helper/diagnostic function.

   注釈:

     This function may return non-"NULL" even when the *thread state*
     is detached. Prefer "PyThreadState_Get()" or
     "PyThreadState_GetUnchecked()" for most cases.

   参考: "PyThreadState_Get()"

int PyGILState_Check()

   Return "1" if the current thread is holding the *GIL* and "0"
   otherwise. This function can be called from any thread at any time.
   Only if it has had its *thread state* initialized via
   "PyGILState_Ensure()" will it return "1". This is mainly a
   helper/diagnostic function.  It can be useful for example in
   callback contexts or memory allocation functions when knowing that
   the *GIL* is locked can allow the caller to perform sensitive
   actions or otherwise behave differently.

   注釈:

     If the current Python process has ever created a subinterpreter,
     this function will *always* return "1". Prefer
     "PyThreadState_GetUnchecked()" for most cases.

   Added in version 3.4.


低水準 API
==========

PyThreadState *PyThreadState_New(PyInterpreterState *interp)
    * 次に属します: Stable ABI.*

   Create a new thread state object belonging to the given interpreter
   object. An *attached thread state* is not needed.

void PyThreadState_Clear(PyThreadState *tstate)
    * 次に属します: Stable ABI.*

   Reset all information in a *thread state* object.  *tstate* must be
   *attached*

   バージョン 3.9 で変更: This function now calls the
   "PyThreadState.on_delete" callback. Previously, that happened in
   "PyThreadState_Delete()".

   バージョン 3.13 で変更: The "PyThreadState.on_delete" callback was
   removed.

void PyThreadState_Delete(PyThreadState *tstate)
    * 次に属します: Stable ABI.*

   Destroy a *thread state* object.  *tstate* should not be *attached*
   to any thread. *tstate* must have been reset with a previous call
   to "PyThreadState_Clear()".

void PyThreadState_DeleteCurrent(void)

   Detach the *attached thread state* (which must have been reset with
   a previous call to "PyThreadState_Clear()") and then destroy it.

   No *thread state* will be *attached* upon returning.

PyFrameObject *PyThreadState_GetFrame(PyThreadState *tstate)
    * 次に属します: Stable ABI (バージョン 3.10 より).*

   Get the current frame of the Python thread state *tstate*.

   Return a *strong reference*. Return "NULL" if no frame is currently
   executing.

   See also "PyEval_GetFrame()".

   *tstate* must not be "NULL", and must be *attached*.

   Added in version 3.9.

uint64_t PyThreadState_GetID(PyThreadState *tstate)
    * 次に属します: Stable ABI (バージョン 3.10 より).*

   Get the unique *thread state* identifier of the Python thread state
   *tstate*.

   *tstate* must not be "NULL", and must be *attached*.

   Added in version 3.9.

PyInterpreterState *PyThreadState_GetInterpreter(PyThreadState *tstate)
    * 次に属します: Stable ABI (バージョン 3.10 より).*

   Get the interpreter of the Python thread state *tstate*.

   *tstate* must not be "NULL", and must be *attached*.

   Added in version 3.9.

void PyThreadState_EnterTracing(PyThreadState *tstate)

   Suspend tracing and profiling in the Python thread state *tstate*.

   Resume them using the "PyThreadState_LeaveTracing()" function.

   Added in version 3.11.

void PyThreadState_LeaveTracing(PyThreadState *tstate)

   Resume tracing and profiling in the Python thread state *tstate*
   suspended by the "PyThreadState_EnterTracing()" function.

   See also "PyEval_SetTrace()" and "PyEval_SetProfile()" functions.

   Added in version 3.11.

int PyUnstable_ThreadState_SetStackProtection(PyThreadState *tstate, void *stack_start_addr, size_t stack_size)

   *これは Unstable APIです。マイナーリリースで予告なく変更されること
   があります。*

   Set the stack protection start address and stack protection size of
   a Python thread state.

   On success, return "0". On failure, set an exception and return
   "-1".

   CPython implements recursion control for C code by raising
   "RecursionError" when it notices that the machine execution stack
   is close to overflow. See for example the "Py_EnterRecursiveCall()"
   function. For this, it needs to know the location of the current
   thread's stack, which it normally gets from the operating system.
   When the stack is changed, for example using context switching
   techniques like the Boost library's "boost::context", you must call
   "PyUnstable_ThreadState_SetStackProtection()" to inform CPython of
   the change.

   Call "PyUnstable_ThreadState_SetStackProtection()" either before or
   after changing the stack. Do not call any other Python C API
   between the call and the stack change.

   See "PyUnstable_ThreadState_ResetStackProtection()" for undoing
   this operation.

   Added in version 3.15.

void PyUnstable_ThreadState_ResetStackProtection(PyThreadState *tstate)

   *これは Unstable APIです。マイナーリリースで予告なく変更されること
   があります。*

   Reset the stack protection start address and stack protection size
   of a Python thread state to the operating system defaults.

   See "PyUnstable_ThreadState_SetStackProtection()" for an
   explanation.

   Added in version 3.15.

PyObject *PyThreadState_GetDict()
    *戻り値: 借用参照。** 次に属します: Stable ABI.*

   Return a dictionary in which extensions can store thread-specific
   state information.  Each extension should use a unique key to use
   to store state in the dictionary.  It is okay to call this function
   when no *thread state* is *attached*. If this function returns
   "NULL", no exception has been raised and the caller should assume
   no thread state is attached.

void PyEval_AcquireThread(PyThreadState *tstate)
    * 次に属します: Stable ABI.*

   *Attach* *tstate* to the current thread, which must not be "NULL"
   or already *attached*.

   The calling thread must not already have an *attached thread
   state*.

   注釈:

     Calling this function from a thread when the runtime is
     finalizing will hang the thread until the program exits, even if
     the thread was not created by Python.  Refer to Cautions
     regarding runtime finalization for more details.

   バージョン 3.8 で変更: Updated to be consistent with
   "PyEval_RestoreThread()", "Py_END_ALLOW_THREADS()", and
   "PyGILState_Ensure()", and terminate the current thread if called
   while the interpreter is finalizing.

   バージョン 3.14 で変更: Hangs the current thread, rather than
   terminating it, if called while the interpreter is finalizing.

   "PyEval_RestoreThread()" はいつでも (スレッドが初期化されたいないと
   きでも) 利用可能な高レベル関数です。

void PyEval_ReleaseThread(PyThreadState *tstate)
    * 次に属します: Stable ABI.*

   Detach the *attached thread state*. The *tstate* argument, which
   must not be "NULL", is only used to check that it represents the
   *attached thread state* --- if it isn't, a fatal error is reported.

   "PyEval_SaveThread()" はより高レベルな関数で常に (スレッドが初期化
   されていないときでも) 利用できます。


Asynchronous notifications
**************************

インタプリタのメインスレッドに非同期な通知を行うために提供されている仕
組みです。これらの通知は関数ポインタと void ポインタ引数という形態を取
ります。

int Py_AddPendingCall(int (*func)(void*), void *arg)
    * 次に属します: Stable ABI.*

   インタプリタのメインスレッドから関数が呼び出される予定を組みます。
   成功すると "0" が返り、*func* はメインスレッドの呼び出しキューに詰
   められます。失敗すると、例外をセットせずに "-1" が返ります。

   無事にキューに詰められると、*func* は *いつかは必ず* インタプリタの
   メインスレッドから、*arg* を引数として呼び出されます。この関数は、
   通常の実行中の Python コードに対して非同期に呼び出されますが、次の
   両方の条件に合致したときに呼び出されます:

   * *bytecode* 境界上にいるとき、

   * with the main thread holding an *attached thread state* (*func*
     can therefore use the full C API).

   *func* must return "0" on success, or "-1" on failure with an
   exception set.  *func* won't be interrupted to perform another
   asynchronous notification recursively, but it can still be
   interrupted to switch threads if the *thread state* is detached.

   This function doesn't need an *attached thread state*. However, to
   call this function in a subinterpreter, the caller must have an
   *attached thread state*. Otherwise, the function *func* can be
   scheduled to be called from the wrong interpreter.

   警告:

     これは、非常に特別な場合にのみ役立つ、低レベルな関数です。 *func*
     が可能な限り早く呼び出される保証はありません。メインスレッドがシ
     ステムコールを実行するのに忙しい場合は、 *func* はシステムコール
     が返ってくるまで呼び出されないでしょう。この関数は一般的には、任
     意の C スレッドから Python コードを呼び出すのには **向きません**
     。これの代わりに、 PyGILState API を使用してください。

   Added in version 3.1.

   バージョン 3.9 で変更: If this function is called in a
   subinterpreter, the function *func* is now scheduled to be called
   from the subinterpreter, rather than being called from the main
   interpreter. Each subinterpreter now has its own list of scheduled
   calls.

   バージョン 3.12 で変更: This function now always schedules *func*
   to be run in the main interpreter.

int Py_MakePendingCalls(void)
    * 次に属します: Stable ABI.*

   Execute all pending calls. This is usually executed automatically
   by the interpreter.

   This function returns "0" on success, and returns "-1" with an
   exception set on failure.

   If this is not called in the main thread of the main interpreter,
   this function does nothing and returns "0". The caller must hold an
   *attached thread state*.

   Added in version 3.1.

   バージョン 3.12 で変更: This function only runs pending calls in
   the main interpreter.

int PyThreadState_SetAsyncExc(unsigned long id, PyObject *exc)
    * 次に属します: Stable ABI.*

   Asynchronously raise an exception in a thread. The *id* argument is
   the thread id of the target thread; *exc* is the exception object
   to be raised. This function does not steal any references to *exc*.
   To prevent naive misuse, you must write your own C extension to
   call this.  Must be called with an *attached thread state*. Returns
   the number of thread states modified; this is normally one, but
   will be zero if the thread id isn't found.  If *exc* is "NULL", the
   pending exception (if any) for the thread is cleared. This raises
   no exceptions.

   バージョン 3.7 で変更: *id* 引数の型が long から unsigned long へ変
   更されました。


Operating system thread APIs
****************************

PYTHREAD_INVALID_THREAD_ID

   Sentinel value for an invalid thread ID.

   This is currently equivalent to "(unsigned long)-1".

unsigned long PyThread_start_new_thread(void (*func)(void*), void *arg)
    * 次に属します: Stable ABI.*

   Start function *func* in a new thread with argument *arg*. The
   resulting thread is not intended to be joined.

   *func* must not be "NULL", but *arg* may be "NULL".

   On success, this function returns the identifier of the new thread;
   on failure, this returns "PYTHREAD_INVALID_THREAD_ID".

   The caller does not need to hold an *attached thread state*.

unsigned long PyThread_get_thread_ident(void)
    * 次に属します: Stable ABI.*

   Return the identifier of the current thread, which will never be
   zero.

   This function cannot fail, and the caller does not need to hold an
   *attached thread state*.

   参考: "threading.get_ident()"

PyObject *PyThread_GetInfo(void)
    * 次に属します: Stable ABI (バージョン 3.3 より).*

   Get general information about the current thread in the form of a
   struct sequence object. This information is accessible as
   "sys.thread_info" in Python.

   On success, this returns a new *strong reference* to the thread
   information; on failure, this returns "NULL" with an exception set.

   The caller must hold an *attached thread state*.

PY_HAVE_THREAD_NATIVE_ID

   This macro is defined when the system supports native thread IDs.

unsigned long PyThread_get_thread_native_id(void)
    * 次に属します: Stable ABI on platforms with native thread IDs.*

   Get the native identifier of the current thread as it was assigned
   by the operating system's kernel, which will never be less than
   zero.

   This function is only available when "PY_HAVE_THREAD_NATIVE_ID" is
   defined.

   This function cannot fail, and the caller does not need to hold an
   *attached thread state*.

   参考: "threading.get_native_id()"

void PyThread_exit_thread(void)
    * 次に属します: Stable ABI.*

   Terminate the current thread. This function is generally considered
   unsafe and should be avoided. It is kept solely for backwards
   compatibility.

   This function is only safe to call if all functions in the full
   call stack are written to safely allow it.

   警告:

     If the current system uses POSIX threads (also known as
     "pthreads"), this calls *pthread_exit(3)*, which attempts to
     unwind the stack and call C++ destructors on some libc
     implementations. However, if a "noexcept" function is reached, it
     may terminate the process. Other systems, such as macOS, do
     unwinding.On Windows, this function calls "_endthreadex()", which
     kills the thread without calling C++ destructors.In any case,
     there is a risk of corruption on the thread's stack.

   バージョン 3.14 で非推奨.

void PyThread_init_thread(void)
    * 次に属します: Stable ABI.*

   Initialize "PyThread*" APIs. Python executes this function
   automatically, so there's little need to call it from an extension
   module.

int PyThread_set_stacksize(size_t size)
    * 次に属します: Stable ABI.*

   Set the stack size of the current thread to *size* bytes.

   This function returns "0" on success, "-1" if *size* is invalid, or
   "-2" if the system does not support changing the stack size. This
   function does not set exceptions.

   The caller does not need to hold an *attached thread state*.

size_t PyThread_get_stacksize(void)
    * 次に属します: Stable ABI.*

   Return the stack size of the current thread in bytes, or "0" if the
   system's default stack size is in use.

   The caller does not need to hold an *attached thread state*.
