# Initialization, Finalization, and Threads — Python 3.13.2 說明文件
關於如何在初始化之前設定直譯器的細節，請參見 Python 初始化設定 。 Python 初始化之前: In an application embedding Python, the Py_Initialize() function must be called before using any other Python/C API functions; with the exception...

# Initialization, Finalization, and Threads

關於如何在初始化之前設定直譯器的細節，請參見 Python 初始化設定。

## Python 初始化之前

In an application embedding Python, the `Py_Initialize()` function must be called before using any other Python/C API functions; with the exception of a few functions and the global configuration variables.

The following functions can be safely called before Python is initialized:

- Functions that initialize the interpreter:

  - `Py_Initialize()`

  - `Py_InitializeEx()`

  - `Py_InitializeFromConfig()`

  - `Py_BytesMain()`

  - `Py_Main()`

  - the runtime pre-initialization functions covered in Python 初始化設定

- Configuration functions:

  - `PyImport_AppendInittab()`

  - `PyImport_ExtendInittab()`

  - `PyInitFrozenExtensions()`

  - `PyMem_SetAllocator()`

  - `PyMem_SetupDebugHooks()`

  - `PyObject_SetArenaAllocator()`

  - `Py_SetProgramName()`

  - `Py_SetPythonHome()`

  - `PySys_ResetWarnOptions()`

  - the configuration functions covered in Python 初始化設定

- Informative functions:

  - `Py_IsInitialized()`

  - `PyMem_GetAllocator()`

  - `PyObject_GetArenaAllocator()`

  - `Py_GetBuildInfo()`

  - `Py_GetCompiler()`

  - `Py_GetCopyright()`

  - `Py_GetPlatform()`

  - `Py_GetVersion()`

  - `Py_IsInitialized()`

- Utilities:

  - `Py_DecodeLocale()`

  - the status reporting and utility functions covered in Python 初始化設定

- Memory allocators:

  - `PyMem_RawMalloc()`

  - `PyMem_RawRealloc()`

  - `PyMem_RawCalloc()`

  - `PyMem_RawFree()`

- Synchronization:

  - `PyMutex_Lock()`

  - `PyMutex_Unlock()`

備註

Despite their apparent similarity to some of the functions listed above, the following functions should not be called before the interpreter has been initialized: `Py_EncodeLocale()`, `Py_GetPath()`, `Py_GetPrefix()`, `Py_GetExecPrefix()`, `Py_GetProgramFullPath()`, `Py_GetPythonHome()`, `Py_GetProgramName()`, `PyEval_InitThreads()`, and `Py_RunMain()`.

## Global configuration variables

Python has variables for the global configuration to control different features and options. By default, these flags are controlled by command line options.

When a flag is set by an option, the value of the flag is the number of times that the option was set. For example, `-b` sets `Py_BytesWarningFlag` to 1 and `-bb` sets `Py_BytesWarningFlag` to 2.

int Py_BytesWarningFlag

  This API is kept for backward compatibility: setting `PyConfig.bytes_warning` should be used instead, see Python Initialization Configuration.

  Issue a warning when comparing `bytes` or `bytearray` with `str` or `bytes` with `int`. Issue an error if greater or equal to `2`.

  由 `-b` 選項設定。

  Deprecated since version 3.12, will be removed in version 3.14.

int Py_DebugFlag

  This API is kept for backward compatibility: setting `PyConfig.parser_debug` should be used instead, see Python Initialization Configuration.

  Turn on parser debugging output (for expert only, depending on compilation options).

  由 `-d` 選項與 `PYTHONDEBUG` 環境變數設定。

  Deprecated since version 3.12, will be removed in version 3.14.

int Py_DontWriteBytecodeFlag

  This API is kept for backward compatibility: setting `PyConfig.write_bytecode` should be used instead, see Python Initialization Configuration.

  If set to non-zero, Python won't try to write `.pyc` files on the import of source modules.

  由 `-B` 選項與 `PYTHONDONTWRITEBYTECODE` 環境變數設定。

  Deprecated since version 3.12, will be removed in version 3.14.

int Py_FrozenFlag

  This API is kept for backward compatibility: setting `PyConfig.pathconfig_warnings` should be used instead, see Python Initialization Configuration.

  Suppress error messages when calculating the module search path in `Py_GetPath()`.

  Private flag used by `_freeze_module` and `frozenmain` programs.

  Deprecated since version 3.12, will be removed in version 3.14.

int Py_HashRandomizationFlag

  This API is kept for backward compatibility: setting `PyConfig.hash_seed` and `PyConfig.use_hash_seed` should be used instead, see Python Initialization Configuration.

  如果環境變數 `PYTHONHASHSEED` 被設定為一個非空字串則設為 `1`。

  If the flag is non-zero, read the `PYTHONHASHSEED` environment variable to initialize the secret hash seed.

  Deprecated since version 3.12, will be removed in version 3.14.

int Py_IgnoreEnvironmentFlag

  This API is kept for backward compatibility: setting `PyConfig.use_environment` should be used instead, see Python Initialization Configuration.

  忽略所有可能被設定的 `PYTHON*` 環境變數，例如 `PYTHONPATH` 與 `PYTHONHOME`。

  由 `-E` 與 `-I` 選項設定。

  Deprecated since version 3.12, will be removed in version 3.14.

int Py_InspectFlag

  This API is kept for backward compatibility: setting `PyConfig.inspect` should be used instead, see Python Initialization Configuration.

  When a script is passed as first argument or the `-c` option is used, enter interactive mode after executing the script or the command, even when `sys.stdin` does not appear to be a terminal.

  由 `-i` 選項與 `PYTHONINSPECT` 環境變數設定。

  Deprecated since version 3.12, will be removed in version 3.14.

int Py_InteractiveFlag

  This API is kept for backward compatibility: setting `PyConfig.interactive` should be used instead, see Python Initialization Configuration.

  由 `-i` 選項設定。

  在 3.12 版之後被棄用.

int Py_IsolatedFlag

  This API is kept for backward compatibility: setting `PyConfig.isolated` should be used instead, see Python Initialization Configuration.

  Run Python in isolated mode. In isolated mode `sys.path` contains neither the script's directory nor the user's site-packages directory.

  由 `-i` 選項設定。

  在 3.4 版被加入.

  Deprecated since version 3.12, will be removed in version 3.14.

int Py_LegacyWindowsFSEncodingFlag

  This API is kept for backward compatibility: setting `PyPreConfig.legacy_windows_fs_encoding` should be used instead, see Python Initialization Configuration.

  If the flag is non-zero, use the `mbcs` encoding with `replace` error handler, instead of the UTF-8 encoding with `surrogatepass` error handler, for the filesystem encoding and error handler.

  如果環境變數 `PYTHONLEGACYWINDOWSFSENCODING` 被設定為一個非空字串則設為 `1`。

  更多詳情請見 PEP 529。

  適用: Windows.

  Deprecated since version 3.12, will be removed in version 3.14.

int Py_LegacyWindowsStdioFlag

  This API is kept for backward compatibility: setting `PyConfig.legacy_windows_stdio` should be used instead, see Python Initialization Configuration.

  If the flag is non-zero, use `io.FileIO` instead of `io._WindowsConsoleIO` for `sys` standard streams.

  Set to `1` if the `PYTHONLEGACYWINDOWSSTDIO` environment variable is set to a non-empty string.

  更多詳情請見 PEP 528。

  適用: Windows.

  Deprecated since version 3.12, will be removed in version 3.14.

int Py_NoSiteFlag

  This API is kept for backward compatibility: setting `PyConfig.site_import` should be used instead, see Python Initialization Configuration.

  Disable the import of the module `site` and the site-dependent manipulations of `sys.path` that it entails. Also disable these manipulations if `site` is explicitly imported later (call `site.main()` if you want them to be triggered).

  由 `-S` 選項設定。

  Deprecated since version 3.12, will be removed in version 3.14.

int Py_NoUserSiteDirectory

  This API is kept for backward compatibility: setting `PyConfig.user_site_directory` should be used instead, see Python Initialization Configuration.

  Don't add the `user site-packages directory` to `sys.path`.

  由 `-s` 選項、`-I` 選項與 `PYTHONNOUSERSITE` 環境變數設定。

  Deprecated since version 3.12, will be removed in version 3.14.

int Py_OptimizeFlag

  This API is kept for backward compatibility: setting `PyConfig.optimization_level` should be used instead, see Python Initialization Configuration.

  由 `-O` 選項與 `PYTHONOPTIMIZE` 環境變數設定。

  Deprecated since version 3.12, will be removed in version 3.14.

int Py_QuietFlag

  This API is kept for backward compatibility: setting `PyConfig.quiet` should be used instead, see Python Initialization Configuration.

  Don't display the copyright and version messages even in interactive mode.

  由 `-q` 選項設定。

  在 3.2 版被加入.

  Deprecated since version 3.12, will be removed in version 3.14.

int Py_UnbufferedStdioFlag

  This API is kept for backward compatibility: setting `PyConfig.buffered_stdio` should be used instead, see Python Initialization Configuration.

  Force the stdout and stderr streams to be unbuffered.

  由 `-u` 選項與 `PYTHONUNBUFFERED` 環境變數設定。

  Deprecated since version 3.12, will be removed in version 3.14.

int Py_VerboseFlag

  This API is kept for backward compatibility: setting `PyConfig.verbose` should be used instead, see Python Initialization Configuration.

  Print a message each time a module is initialized, showing the place (filename or built-in module) from which it is loaded. If greater or equal to `2`, print a message for each file that is checked for when searching for a module. Also provides information on module cleanup at exit.

  由 `-v` 選項與 `PYTHONVERBOSE` 環境變數設定。

  Deprecated since version 3.12, will be removed in version 3.14.

## Initializing and finalizing the interpreter

void Py_Initialize()
  為 穩定 ABI 的一部分.

  Initialize the Python interpreter. In an application embedding Python, this should be called before using any other Python/C API functions; see Before Python Initialization for the few exceptions.

  This initializes the table of loaded modules (`sys.modules`), and creates the fundamental modules `builtins`, `__main__` and `sys`. It also initializes the module search path (`sys.path`). It does not set `sys.argv`; use the Python Initialization Configuration API for that. This is a no-op when called for a second time (without calling `Py_FinalizeEx()` first). There is no return value; it is a fatal error if the initialization fails.

  Use `Py_InitializeFromConfig()` to customize the Python Initialization Configuration.

  備註

  On Windows, changes the console mode from `O_TEXT` to `O_BINARY`, which will also affect non-Python uses of the console using the C Runtime.

void Py_InitializeEx(int initsigs)
  為 穩定 ABI 的一部分.

  This function works like `Py_Initialize()` if initsigs is `1`. If initsigs is `0`, it skips initialization registration of signal handlers, which may be useful when CPython is embedded as part of a larger application.

  Use `Py_InitializeFromConfig()` to customize the Python Initialization Configuration.

PyStatus Py_InitializeFromConfig(const PyConfig *config)

  Initialize Python from config configuration, as described in Initialization with PyConfig.

  See the Python 初始化設定 section for details on pre-initializing the interpreter, populating the runtime configuration structure, and querying the returned status structure.

int Py_IsInitialized()
  為 穩定 ABI 的一部分.

  Return true (nonzero) when the Python interpreter has been initialized, false (zero) if not. After `Py_FinalizeEx()` is called, this returns false until `Py_Initialize()` is called again.

int Py_IsFinalizing()
  為 穩定 ABI 的一部分 自 3.13 版本開始.

  Return true (non-zero) if the main Python interpreter is shutting down. Return false (zero) otherwise.

  在 3.13 版被加入.

int Py_FinalizeEx()
  為 穩定 ABI 的一部分 自 3.6 版本開始.

  Undo all initializations made by `Py_Initialize()` and subsequent use of Python/C API functions, and destroy all sub-interpreters (see `Py_NewInterpreter()` below) that were created and not yet destroyed since the last call to `Py_Initialize()`. Ideally, this frees all memory allocated by the Python interpreter. This is a no-op when called for a second time (without calling `Py_Initialize()` again first).

  Since this is the reverse of `Py_Initialize()`, it should be called in the same thread with the same interpreter active. That means the main thread and the main interpreter. This should never be called while `Py_RunMain()` is running.

  Normally the return value is `0`. If there were errors during finalization (flushing buffered data), `-1` is returned.

  This function is provided for a number of reasons. An embedding application might want to restart Python without having to restart the application itself. An application that has loaded the Python interpreter from a dynamically loadable library (or DLL) might want to free all memory allocated by Python before unloading the DLL. During a hunt for memory leaks in an application a developer might want to free all memory allocated by Python before exiting from the application.

  Bugs and caveats: The destruction of modules and objects in modules is done in random order; this may cause destructors (`__del__()` methods) to fail when they depend on other objects (even functions) or modules. Dynamically loaded extension modules loaded by Python are not unloaded. Small amounts of memory allocated by the Python interpreter may not be freed (if you find a leak, please report it). Memory tied up in circular references between objects is not freed. Some memory allocated by extension modules may not be freed. Some extensions may not work properly if their initialization routine is called more than once; this can happen if an application calls `Py_Initialize()` and `Py_FinalizeEx()` more than once.

  引發一個不附帶引數的稽核事件 `cpython._PySys_ClearAuditHooks`。

  在 3.6 版被加入.

void Py_Finalize()
  為 穩定 ABI 的一部分.

  This is a backwards-compatible version of `Py_FinalizeEx()` that disregards the return value.

int Py_BytesMain(int argc, char **argv)
  為 穩定 ABI 的一部分 自 3.8 版本開始.

  Similar to `Py_Main()` but argv is an array of bytes strings, allowing the calling application to delegate the text decoding step to the CPython runtime.

  在 3.8 版被加入.

int Py_Main(int argc, wchar_t **argv)
  為 穩定 ABI 的一部分.

  The main program for the standard interpreter, encapsulating a full initialization/finalization cycle, as well as additional behaviour to implement reading configurations settings from the environment and command line, and then executing `__main__` in accordance with 命令列.

  This is made available for programs which wish to support the full CPython command line interface, rather than just embedding a Python runtime in a larger application.

  The argc and argv parameters are similar to those which are passed to a C program's `main()` function, except that the argv entries are first converted to `wchar_t` using `Py_DecodeLocale()`. It is also important to note that the argument list entries may be modified to point to strings other than those passed in (however, the contents of the strings pointed to by the argument list are not modified).

  The return value will be `0` if the interpreter exits normally (i.e., without an exception), `1` if the interpreter exits due to an exception, or `2` if the argument list does not represent a valid Python command line.

  Note that if an otherwise unhandled `SystemExit` is raised, this function will not return `1`, but exit the process, as long as `Py_InspectFlag` is not set. If `Py_InspectFlag` is set, execution will drop into the interactive Python prompt, at which point a second otherwise unhandled `SystemExit` will still exit the process, while any other means of exiting will set the return value as described above.

  In terms of the CPython runtime configuration APIs documented in the runtime configuration section (and without accounting for error handling), `Py_Main` is approximately equivalent to:

      PyConfig config;
      PyConfig_InitPythonConfig(&config);
      PyConfig_SetArgv(&config, argc, argv);
      Py_InitializeFromConfig(&config);
      PyConfig_Clear(&config);

      Py_RunMain();

  In normal usage, an embedding application will call this function instead of calling `Py_Initialize()`, `Py_InitializeEx()` or `Py_InitializeFromConfig()` directly, and all settings will be applied as described elsewhere in this documentation. If this function is instead called after a preceding runtime initialization API call, then exactly which environmental and command line configuration settings will be updated is version dependent (as it depends on which settings correctly support being modified after they have already been set once when the runtime was first initialized).

int Py_RunMain(void)

  Executes the main module in a fully configured CPython runtime.

  Executes the command (`PyConfig.run_command`), the script (`PyConfig.run_filename`) or the module (`PyConfig.run_module`) specified on the command line or in the configuration. If none of these values are set, runs the interactive Python prompt (REPL) using the `__main__` module's global namespace.

  If `PyConfig.inspect` is not set (the default), the return value will be `0` if the interpreter exits normally (that is, without raising an exception), or `1` if the interpreter exits due to an exception. If an otherwise unhandled `SystemExit` is raised, the function will immediately exit the process instead of returning `1`.

  If `PyConfig.inspect` is set (such as when the `-i` option is used), rather than returning when the interpreter exits, execution will instead resume in an interactive Python prompt (REPL) using the `__main__` module's global namespace. If the interpreter exited with an exception, it is immediately raised in the REPL session. The function return value is then determined by the way the REPL session terminates: returning `0` if the session terminates without raising an unhandled exception, exiting immediately for an unhandled `SystemExit`, and returning `1` for any other unhandled exception.

  This function always finalizes the Python interpreter regardless of whether it returns a value or immediately exits the process due to an unhandled `SystemExit` exception.

  See Python Configuration for an example of a customized Python that always runs in isolated mode using `Py_RunMain()`.

int PyUnstable_AtExit( PyInterpreterState *interp, void (*func)(void*), void *data)
  這是 不穩定 API，它可能在小版本發布中沒有任何警告地被變更。

  Register an `atexit` callback for the target interpreter interp. This is similar to `Py_AtExit()`, but takes an explicit interpreter and data pointer for the callback.

  The GIL must be held for interp.

  在 3.13 版被加入.

## Process-wide parameters

void Py_SetProgramName(const wchar_t *name)
  為 穩定 ABI 的一部分.

  This API is kept for backward compatibility: setting `PyConfig.program_name` should be used instead, see Python Initialization Configuration.

  This function should be called before `Py_Initialize()` is called for the first time, if it is called at all. It tells the interpreter the value of the `argv[0]` argument to the `main()` function of the program (converted to wide characters). This is used by `Py_GetPath()` and some other functions below to find the Python run-time libraries relative to the interpreter executable. The default value is `'python'`. The argument should point to a zero-terminated wide character string in static storage whose contents will not change for the duration of the program's execution. No code in the Python interpreter will change the contents of this storage.

  Use `Py_DecodeLocale()` to decode a bytes string to get a wchar_t* string.

  在 3.11 版之後被棄用.

wchar_t *Py_GetProgramName()
  為 穩定 ABI 的一部分.

  Return the program name set with `PyConfig.program_name`, or the default. The returned string points into static storage; the caller should not modify its value.

  此函式不應該在 `Py_Initialize()` 之前呼叫，否則會回傳 `NULL`。

  在 3.10 版的變更: 如果在 `Py_Initialize()` 之前呼叫，現在會回傳 `NULL`。

  Deprecated since version 3.13, will be removed in version 3.15: Get `sys.executable` instead.

wchar_t *Py_GetPrefix()
  為 穩定 ABI 的一部分.

  Return the prefix for installed platform-independent files. This is derived through a number of complicated rules from the program name set with `PyConfig.program_name` and some environment variables; for example, if the program name is `'/usr/local/bin/python'`, the prefix is `'/usr/local'`. The returned string points into static storage; the caller should not modify its value. This corresponds to the prefix variable in the top-level `Makefile` and the `--prefix` argument to the configure script at build time. The value is available to Python code as `sys.base_prefix`. It is only useful on Unix. See also the next function.

  此函式不應該在 `Py_Initialize()` 之前呼叫，否則會回傳 `NULL`。

  在 3.10 版的變更: 如果在 `Py_Initialize()` 之前呼叫，現在會回傳 `NULL`。

  Deprecated since version 3.13, will be removed in version 3.15: Get `sys.base_prefix` instead, or `sys.prefix` if virtual environments need to be handled.

wchar_t *Py_GetExecPrefix()
  為 穩定 ABI 的一部分.

  Return the exec-prefix for installed platform-dependent files. This is derived through a number of complicated rules from the program name set with `PyConfig.program_name` and some environment variables; for example, if the program name is `'/usr/local/bin/python'`, the exec-prefix is `'/usr/local'`. The returned string points into static storage; the caller should not modify its value. This corresponds to the exec_prefix variable in the top-level `Makefile` and the `--exec-prefix` argument to the configure script at build time. The value is available to Python code as `sys.base_exec_prefix`. It is only useful on Unix.

  Background: The exec-prefix differs from the prefix when platform dependent files (such as executables and shared libraries) are installed in a different directory tree. In a typical installation, platform dependent files may be installed in the `/usr/local/plat` subtree while platform independent may be installed in `/usr/local`.

  Generally speaking, a platform is a combination of hardware and software families, e.g. Sparc machines running the Solaris 2.x operating system are considered the same platform, but Intel machines running Solaris 2.x are another platform, and Intel machines running Linux are yet another platform. Different major revisions of the same operating system generally also form different platforms. Non-Unix operating systems are a different story; the installation strategies on those systems are so different that the prefix and exec-prefix are meaningless, and set to the empty string. Note that compiled Python bytecode files are platform independent (but not independent from the Python version by which they were compiled!).

  System administrators will know how to configure the mount or automount programs to share `/usr/local` between platforms while having `/usr/local/plat` be a different filesystem for each platform.

  此函式不應該在 `Py_Initialize()` 之前呼叫，否則會回傳 `NULL`。

  在 3.10 版的變更: 如果在 `Py_Initialize()` 之前呼叫，現在會回傳 `NULL`。

  Deprecated since version 3.13, will be removed in version 3.15: Get `sys.base_exec_prefix` instead, or `sys.exec_prefix` if virtual environments need to be handled.

wchar_t *Py_GetProgramFullPath()
  為 穩定 ABI 的一部分.

  Return the full program name of the Python executable; this is computed as a side-effect of deriving the default module search path from the program name (set by `PyConfig.program_name`). The returned string points into static storage; the caller should not modify its value. The value is available to Python code as `sys.executable`.

  此函式不應該在 `Py_Initialize()` 之前呼叫，否則會回傳 `NULL`。

  在 3.10 版的變更: 如果在 `Py_Initialize()` 之前呼叫，現在會回傳 `NULL`。

  Deprecated since version 3.13, will be removed in version 3.15: Get `sys.executable` instead.

wchar_t *Py_GetPath()
  為 穩定 ABI 的一部分.

  Return the default module search path; this is computed from the program name (set by `PyConfig.program_name`) and some environment variables. The returned string consists of a series of directory names separated by a platform dependent delimiter character. The delimiter character is `':'` on Unix and macOS, `';'` on Windows. The returned string points into static storage; the caller should not modify its value. The list `sys.path` is initialized with this value on interpreter startup; it can be (and usually is) modified later to change the search path for loading modules.

  此函式不應該在 `Py_Initialize()` 之前呼叫，否則會回傳 `NULL`。

  在 3.10 版的變更: 如果在 `Py_Initialize()` 之前呼叫，現在會回傳 `NULL`。

  Deprecated since version 3.13, will be removed in version 3.15: Get `sys.path` instead.

const char *Py_GetVersion()
  為 穩定 ABI 的一部分.

  Return the version of this Python interpreter. This is a string that looks something like

      "3.0a5+ (py3k:63103M, May 12 2008, 00:53:55) \n[GCC 4.2.3]"

  The first word (up to the first space character) is the current Python version; the first characters are the major and minor version separated by a period. The returned string points into static storage; the caller should not modify its value. The value is available to Python code as `sys.version`.

  See also the `Py_Version` constant.

const char *Py_GetPlatform()
  為 穩定 ABI 的一部分.

  Return the platform identifier for the current platform. On Unix, this is formed from the "official" name of the operating system, converted to lower case, followed by the major revision number; e.g., for Solaris 2.x, which is also known as SunOS 5.x, the value is `'sunos5'`. On macOS, it is `'darwin'`. On Windows, it is `'win'`. The returned string points into static storage; the caller should not modify its value. The value is available to Python code as `sys.platform`.

const char *Py_GetCopyright()
  為 穩定 ABI 的一部分.

  Return the official copyright string for the current Python version, for example

  `'Copyright 1991-1995 Stichting Mathematisch Centrum, Amsterdam'`

  The returned string points into static storage; the caller should not modify its value. The value is available to Python code as `sys.copyright`.

const char *Py_GetCompiler()
  為 穩定 ABI 的一部分.

  Return an indication of the compiler used to build the current Python version, in square brackets, for example:

      "[GCC 2.7.2.2]"

  The returned string points into static storage; the caller should not modify its value. The value is available to Python code as part of the variable `sys.version`.

const char *Py_GetBuildInfo()
  為 穩定 ABI 的一部分.

  Return information about the sequence number and build date and time of the current Python interpreter instance, for example

      "#67, Aug  1 1997, 22:34:28"

  The returned string points into static storage; the caller should not modify its value. The value is available to Python code as part of the variable `sys.version`.

void PySys_SetArgvEx(int argc, wchar_t **argv, int updatepath)
  為 穩定 ABI 的一部分.

  This API is kept for backward compatibility: setting `PyConfig.argv`, `PyConfig.parse_argv` and `PyConfig.safe_path` should be used instead, see Python Initialization Configuration.

  Set `sys.argv` based on argc and argv. These parameters are similar to those passed to the program's `main()` function with the difference that the first entry should refer to the script file to be executed rather than the executable hosting the Python interpreter. If there isn't a script that will be run, the first entry in argv can be an empty string. If this function fails to initialize `sys.argv`, a fatal condition is signalled using `Py_FatalError()`.

  If updatepath is zero, this is all the function does. If updatepath is non-zero, the function also modifies `sys.path` according to the following algorithm:

  - If the name of an existing script is passed in `argv[0]`, the absolute path of the directory where the script is located is prepended to `sys.path`.

  - Otherwise (that is, if argc is `0` or `argv[0]` doesn't point to an existing file name), an empty string is prepended to `sys.path`, which is the same as prepending the current working directory (`"."`).

  Use `Py_DecodeLocale()` to decode a bytes string to get a wchar_t* string.

  See also `PyConfig.orig_argv` and `PyConfig.argv` members of the Python Initialization Configuration.

  備註

  It is recommended that applications embedding the Python interpreter for purposes other than executing a single script pass `0` as updatepath, and update `sys.path` themselves if desired. See CVE 2008-5983.

  On versions before 3.1.3, you can achieve the same effect by manually popping the first `sys.path` element after having called `PySys_SetArgv()`, for example using:

      PyRun_SimpleString("import sys; sys.path.pop(0)\n");

  在 3.1.3 版被加入.

  在 3.11 版之後被棄用.

void PySys_SetArgv(int argc, wchar_t **argv)
  為 穩定 ABI 的一部分.

  This API is kept for backward compatibility: setting `PyConfig.argv` and `PyConfig.parse_argv` should be used instead, see Python Initialization Configuration.

  This function works like `PySys_SetArgvEx()` with updatepath set to `1` unless the python interpreter was started with the `-I`.

  Use `Py_DecodeLocale()` to decode a bytes string to get a wchar_t* string.

  See also `PyConfig.orig_argv` and `PyConfig.argv` members of the Python Initialization Configuration.

  在 3.4 版的變更: The updatepath value depends on `-I`.

  在 3.11 版之後被棄用.

void Py_SetPythonHome(const wchar_t *home)
  為 穩定 ABI 的一部分.

  This API is kept for backward compatibility: setting `PyConfig.home` should be used instead, see Python Initialization Configuration.

  Set the default "home" directory, that is, the location of the standard Python libraries. See `PYTHONHOME` for the meaning of the argument string.

  The argument should point to a zero-terminated character string in static storage whose contents will not change for the duration of the program's execution. No code in the Python interpreter will change the contents of this storage.

  Use `Py_DecodeLocale()` to decode a bytes string to get a wchar_t* string.

  在 3.11 版之後被棄用.

wchar_t *Py_GetPythonHome()
  為 穩定 ABI 的一部分.

  Return the default "home", that is, the value set by `PyConfig.home`, or the value of the `PYTHONHOME` environment variable if it is set.

  此函式不應該在 `Py_Initialize()` 之前呼叫，否則會回傳 `NULL`。

  在 3.10 版的變更: 如果在 `Py_Initialize()` 之前呼叫，現在會回傳 `NULL`。

  Deprecated since version 3.13, will be removed in version 3.15: 改為取得 `PyConfig.home` 或 `PYTHONHOME` 環境變數。

## Thread State and the Global Interpreter Lock

The Python interpreter is not fully 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 the current thread before it can safely access 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.

Therefore, the rule exists that only the thread that has acquired the GIL may operate on Python objects or call Python/C API functions. In order to emulate concurrency of execution, the interpreter regularly tries to switch threads (see `sys.setswitchinterval()`). The lock is also released around potentially blocking I/O operations like reading or writing a file, so that other Python threads can run in the meantime.

The Python interpreter keeps some thread-specific bookkeeping information inside a data structure called `PyThreadState`. There's also one global variable pointing to the current `PyThreadState`: it can be retrieved using `PyThreadState_Get()`.

### Releasing the GIL from extension code

Most extension code manipulating the GIL has the following simple structure:

    Save the thread state in a local variable.
    Release the global interpreter lock.
    ... Do some blocking I/O operation ...
    Reacquire the global interpreter lock.
    Restore the thread state from the local variable.

This is so common that a pair of macros exists to simplify it:

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

The `Py_BEGIN_ALLOW_THREADS` macro opens a new block and declares a hidden local variable; the `Py_END_ALLOW_THREADS` macro closes the block.

The block above expands to the following code:

    PyThreadState *_save;

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

Here is how these functions work: the global interpreter lock is used to protect the pointer to the current thread state. When releasing the lock and saving the thread state, the current thread state pointer must be retrieved before the lock is released (since another thread could immediately acquire the lock and store its own thread state in the global variable). Conversely, when acquiring the lock and restoring the thread state, the lock must be acquired before storing the thread state pointer.

備註

Calling system I/O functions is the most common use case for releasing the GIL, but it can also be useful before calling long-running computations which don't need access to Python objects, such as compression or cryptographic functions operating over memory buffers. For example, the standard `zlib` and `hashlib` modules release the GIL when compressing or hashing data.

### Non-Python created threads

When threads are created using the dedicated Python APIs (such as the `threading` module), a thread state is automatically associated to them and the code showed above is therefore correct. However, when threads are created from C (for example by a third-party library with its own thread management), they don't hold the GIL, nor is there a thread state structure for them.

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 thread state data structure, then acquiring the GIL, and finally storing their thread state pointer, before you can start using the Python/C API. When you are done, you should reset the thread state pointer, release the GIL, and finally free the thread state data structure.

The `PyGILState_Ensure()` and `PyGILState_Release()` functions do all of the above automatically. The typical idiom for calling into Python from a C thread is:

    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);

Note that the `PyGILState_*` functions assume there is only one global interpreter (created automatically by `Py_Initialize()`). Python supports the creation of additional interpreters (using `Py_NewInterpreter()`), but mixing multiple interpreters and the `PyGILState_*` API is unsupported.

### 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 物件 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.

### 高階 API

These are the most commonly used types and functions when writing C extension code, or when embedding the Python interpreter:

type PyInterpreterState
  為 受限 API 的一部分 （做為一個不透明結構 (opaque struct)）.

  This data structure represents the state shared by a number of cooperating threads. Threads belonging to the same interpreter share their module administration and a few other internal items. There are no public members in this structure.

  Threads belonging to different interpreters initially share nothing, except process state like available memory, open file descriptors and such. The global interpreter lock is also shared by all threads, regardless of to which interpreter they belong.

type PyThreadState
  為 受限 API 的一部分 （做為一個不透明結構 (opaque struct)）.

  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()
  為 穩定 ABI 的一部分.

  Deprecated function which does nothing.

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

  在 3.9 版的變更: 此函式現在不會做任何事情。

  在 3.7 版的變更: This function is now called by `Py_Initialize()`, so you don't have to call it yourself anymore.

  在 3.2 版的變更: This function cannot be called before `Py_Initialize()` anymore.

  在 3.9 版之後被棄用.

PyThreadState *PyEval_SaveThread()
  為 穩定 ABI 的一部分.

  Release the global interpreter lock (if it has been created) and reset the thread state to `NULL`, returning the previous thread state (which is not `NULL`). If the lock has been created, the current thread must have acquired it.

void PyEval_RestoreThread( PyThreadState *tstate)
  為 穩定 ABI 的一部分.

  Acquire the global interpreter lock (if it has been created) and set the thread state to tstate, which must not be `NULL`. If the lock has been created, the current thread must not have acquired it, otherwise deadlock ensues.

  備註

  Calling this function from a thread when the runtime is finalizing will terminate the thread, even if the thread was not created by Python. You can use `Py_IsFinalizing()` or `sys.is_finalizing()` to check if the interpreter is in process of being finalized before calling this function to avoid unwanted termination.

PyThreadState *PyThreadState_Get()
  為 穩定 ABI 的一部分.

  Return the current thread state. The global interpreter lock must be held. When the current thread state is `NULL`, this issues a fatal error (so that the caller needn't check for `NULL`).

  也請見 `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.

  在 3.13 版被加入: In Python 3.5 to 3.12, the function was private and known as `_PyThreadState_UncheckedGet()`.

PyThreadState *PyThreadState_Swap( PyThreadState *tstate)
  為 穩定 ABI 的一部分.

  Swap the current thread state with the thread state given by the argument tstate, which may be `NULL`. The global interpreter lock must be held and is not released.

The following functions use thread-local storage, and are not compatible with sub-interpreters:

PyGILState_STATE PyGILState_Ensure()
  為 穩定 ABI 的一部分.

  Ensure that the current thread is ready to call the Python C API regardless of the current state of Python, or of the global interpreter lock. 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 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, the current thread will hold the GIL and be able to call arbitrary Python code. Failure is a fatal error.

  備註

  Calling this function from a thread when the runtime is finalizing will terminate the thread, even if the thread was not created by Python. You can use `Py_IsFinalizing()` or `sys.is_finalizing()` to check if the interpreter is in process of being finalized before calling this function to avoid unwanted termination.

void PyGILState_Release(PyGILState_STATE)
  為 穩定 ABI 的一部分.

  Release any resources previously acquired. After this call, Python's state will be the same as it was prior to the corresponding `PyGILState_Ensure()` call (but generally this state will be unknown to the caller, hence the use of the GILState API).

  Every call to `PyGILState_Ensure()` must be matched by a call to `PyGILState_Release()` on the same thread.

PyThreadState *PyGILState_GetThisThreadState()
  為 穩定 ABI 的一部分.

  Get the current 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.

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 Python thread state initialized and currently is holding the GIL 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.

  在 3.4 版被加入.

The following macros are normally used without a trailing semicolon; look for example usage in the Python source distribution.

Py_BEGIN_ALLOW_THREADS
  為 穩定 ABI 的一部分.

  This macro expands to `{ PyThreadState *_save; _save = PyEval_SaveThread();`. Note that it contains an opening brace; it must be matched with a following `Py_END_ALLOW_THREADS` macro. See above for further discussion of this macro.

Py_END_ALLOW_THREADS
  為 穩定 ABI 的一部分.

  This macro expands to `PyEval_RestoreThread(_save); }`. Note that it contains a closing brace; it must be matched with an earlier `Py_BEGIN_ALLOW_THREADS` macro. See above for further discussion of this macro.

Py_BLOCK_THREADS
  為 穩定 ABI 的一部分.

  This macro expands to `PyEval_RestoreThread(_save);`: it is equivalent to `Py_END_ALLOW_THREADS` without the closing brace.

Py_UNBLOCK_THREADS
  為 穩定 ABI 的一部分.

  This macro expands to `_save = PyEval_SaveThread();`: it is equivalent to `Py_BEGIN_ALLOW_THREADS` without the opening brace and variable declaration.

### 低階 API

All of the following functions must be called after `Py_Initialize()`.

在 3.7 版的變更: `Py_Initialize()` now initializes the GIL.

PyInterpreterState *PyInterpreterState_New()
  為 穩定 ABI 的一部分.

  Create a new interpreter state object. The global interpreter lock need not be held, but may be held if it is necessary to serialize calls to this function.

  引發一個不附帶引數的稽核事件 `cpython.PyInterpreterState_New`。

void PyInterpreterState_Clear( PyInterpreterState *interp)
  為 穩定 ABI 的一部分.

  Reset all information in an interpreter state object. The global interpreter lock must be held.

  引發一個不附帶引數的稽核事件 `cpython.PyInterpreterState_Clear`。

void PyInterpreterState_Delete( PyInterpreterState *interp)
  為 穩定 ABI 的一部分.

  Destroy an interpreter state object. The global interpreter lock need not be held. The interpreter state must have been reset with a previous call to `PyInterpreterState_Clear()`.

PyThreadState *PyThreadState_New( PyInterpreterState *interp)
  為 穩定 ABI 的一部分.

  Create a new thread state object belonging to the given interpreter object. The global interpreter lock need not be held, but may be held if it is necessary to serialize calls to this function.

void PyThreadState_Clear( PyThreadState *tstate)
  為 穩定 ABI 的一部分.

  Reset all information in a thread state object. The global interpreter lock must be held.

  在 3.9 版的變更: This function now calls the `PyThreadState.on_delete` callback. Previously, that happened in `PyThreadState_Delete()`.

  在 3.13 版的變更: `PyThreadState.on_delete` 回呼已被移除。

void PyThreadState_Delete( PyThreadState *tstate)
  為 穩定 ABI 的一部分.

  Destroy a thread state object. The global interpreter lock need not be held. The thread state must have been reset with a previous call to `PyThreadState_Clear()`.

void PyThreadState_DeleteCurrent(void)

  Destroy the current thread state and release the global interpreter lock. Like `PyThreadState_Delete()`, the global interpreter lock must be held. The thread state must have been reset with a previous call to `PyThreadState_Clear()`.

PyFrameObject *PyThreadState_GetFrame( PyThreadState *tstate)
  為 穩定 ABI 的一部分 自 3.10 版本開始.

  Get the current frame of the Python thread state tstate.

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

  也請見 `PyEval_GetFrame()`。

  tstate 不可為 `NULL`。

  在 3.9 版被加入.

uint64_t PyThreadState_GetID( PyThreadState *tstate)
  為 穩定 ABI 的一部分 自 3.10 版本開始.

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

  tstate 不可為 `NULL`。

  在 3.9 版被加入.

PyInterpreterState *PyThreadState_GetInterpreter( PyThreadState *tstate)
  為 穩定 ABI 的一部分 自 3.10 版本開始.

  Get the interpreter of the Python thread state tstate.

  tstate 不可為 `NULL`。

  在 3.9 版被加入.

void PyThreadState_EnterTracing( PyThreadState *tstate)

  Suspend tracing and profiling in the Python thread state tstate.

  Resume them using the `PyThreadState_LeaveTracing()` function.

  在 3.11 版被加入.

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.

  在 3.11 版被加入.

PyInterpreterState *PyInterpreterState_Get(void)
  為 穩定 ABI 的一部分 自 3.9 版本開始.

  Get the current interpreter.

  Issue a fatal error if there no current Python thread state or no current interpreter. It cannot return NULL.

  The caller must hold the GIL.

  在 3.9 版被加入.

int64_t PyInterpreterState_GetID( PyInterpreterState *interp)
  為 穩定 ABI 的一部分 自 3.7 版本開始.

  Return the interpreter's unique ID. If there was any error in doing so then `-1` is returned and an error is set.

  The caller must hold the GIL.

  在 3.7 版被加入.

PyObject *PyInterpreterState_GetDict( PyInterpreterState *interp)
  為 穩定 ABI 的一部分 自 3.8 版本開始.

  Return a dictionary in which interpreter-specific data may be stored. If this function returns `NULL` then no exception has been raised and the caller should assume no interpreter-specific dict is available.

  This is not a replacement for `PyModule_GetState()`, which extensions should use to store interpreter-specific state information.

  在 3.8 版被加入.

PyObject *PyUnstable_InterpreterState_GetMainModule( PyInterpreterState *interp)
  這是 不穩定 API，它可能在小版本發布中沒有任何警告地被變更。

  Return a strong reference to the `__main__` module object for the given interpreter.

  The caller must hold the GIL.

  在 3.13 版被加入.

typedef PyObject *(*_PyFrameEvalFunction)( PyThreadState *tstate, _PyInterpreterFrame *frame, int throwflag)

  Type of a frame evaluation function.

  The throwflag parameter is used by the `throw()` method of generators: if non-zero, handle the current exception.

  在 3.9 版的變更: The function now takes a tstate parameter.

  在 3.11 版的變更: The frame parameter changed from `PyFrameObject*` to `_PyInterpreterFrame*`.

_PyFrameEvalFunction _PyInterpreterState_GetEvalFrameFunc( PyInterpreterState *interp)

  Get the frame evaluation function.

  See the PEP 523 "Adding a frame evaluation API to CPython".

  在 3.9 版被加入.

void _PyInterpreterState_SetEvalFrameFunc( PyInterpreterState *interp, _PyFrameEvalFunction eval_frame)

  Set the frame evaluation function.

  See the PEP 523 "Adding a frame evaluation API to CPython".

  在 3.9 版被加入.

PyObject *PyThreadState_GetDict()
  回傳值：借用參照。 為 穩定 ABI 的一部分.

  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 current thread state is available. If this function returns `NULL`, no exception has been raised and the caller should assume no current thread state is available.

int PyThreadState_SetAsyncExc(unsigned long id, PyObject *exc)
  為 穩定 ABI 的一部分.

  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 the GIL held. 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.

  在 3.7 版的變更: The type of the id parameter changed from long to unsigned long.

void PyEval_AcquireThread( PyThreadState *tstate)
  為 穩定 ABI 的一部分.

  Acquire the global interpreter lock and set the current thread state to tstate, which must not be `NULL`. The lock must have been created earlier. If this thread already has the lock, deadlock ensues.

  備註

  Calling this function from a thread when the runtime is finalizing will terminate the thread, even if the thread was not created by Python. You can use `Py_IsFinalizing()` or `sys.is_finalizing()` to check if the interpreter is in process of being finalized before calling this function to avoid unwanted termination.

  在 3.8 版的變更: 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.

  `PyEval_RestoreThread()` is a higher-level function which is always available (even when threads have not been initialized).

void PyEval_ReleaseThread( PyThreadState *tstate)
  為 穩定 ABI 的一部分.

  Reset the current thread state to `NULL` and release the global interpreter lock. The lock must have been created earlier and must be held by the current thread. The tstate argument, which must not be `NULL`, is only used to check that it represents the current thread state --- if it isn't, a fatal error is reported.

  `PyEval_SaveThread()` is a higher-level function which is always available (even when threads have not been initialized).

## Sub-interpreter support

While in most uses, you will only embed a single Python interpreter, there are cases where you need to create several independent interpreters in the same process and perhaps even in the same thread. Sub-interpreters allow you to do that.

The "main" interpreter is the first one created when the runtime initializes. It is usually the only Python interpreter in a process. Unlike sub-interpreters, the main interpreter has unique process-global responsibilities like signal handling. It is also responsible for execution during runtime initialization and is usually the active interpreter during runtime finalization. The `PyInterpreterState_Main()` function returns a pointer to its state.

You can switch between sub-interpreters using the `PyThreadState_Swap()` function. You can create and destroy them using the following functions:

type PyInterpreterConfig

  Structure containing most parameters to configure a sub-interpreter. Its values are used only in `Py_NewInterpreterFromConfig()` and never modified by the runtime.

  在 3.12 版被加入.

  Structure fields:

  int use_main_obmalloc

    If this is `0` then the sub-interpreter will use its own "object" allocator state. Otherwise it will use (share) the main interpreter's.

    If this is `0` then `check_multi_interp_extensions` must be `1` (non-zero). If this is `1` then `gil` must not be `PyInterpreterConfig_OWN_GIL`.

  int allow_fork

    If this is `0` then the runtime will not support forking the process in any thread where the sub-interpreter is currently active. Otherwise fork is unrestricted.

    Note that the `subprocess` module still works when fork is disallowed.

  int allow_exec

    If this is `0` then the runtime will not support replacing the current process via exec (e.g. `os.execv()`) in any thread where the sub-interpreter is currently active. Otherwise exec is unrestricted.

    Note that the `subprocess` module still works when exec is disallowed.

  int allow_threads

    If this is `0` then the sub-interpreter's `threading` module won't create threads. Otherwise threads are allowed.

  int allow_daemon_threads

    If this is `0` then the sub-interpreter's `threading` module won't create daemon threads. Otherwise daemon threads are allowed (as long as `allow_threads` is non-zero).

  int check_multi_interp_extensions

    If this is `0` then all extension modules may be imported, including legacy (single-phase init) modules, in any thread where the sub-interpreter is currently active. Otherwise only multi-phase init extension modules (see PEP 489) may be imported. (Also see `Py_mod_multiple_interpreters`.)

    This must be `1` (non-zero) if `use_main_obmalloc` is `0`.

  int gil

    This determines the operation of the GIL for the sub-interpreter. It may be one of the following:

    PyInterpreterConfig_DEFAULT_GIL

      Use the default selection (`PyInterpreterConfig_SHARED_GIL`).

    PyInterpreterConfig_SHARED_GIL

      Use (share) the main interpreter's GIL.

    PyInterpreterConfig_OWN_GIL

      Use the sub-interpreter's own GIL.

    If this is `PyInterpreterConfig_OWN_GIL` then `PyInterpreterConfig.use_main_obmalloc` must be `0`.

PyStatus Py_NewInterpreterFromConfig( PyThreadState **tstate_p, const PyInterpreterConfig *config)

  Create a new sub-interpreter. This is an (almost) totally separate environment for the execution of Python code. In particular, the new interpreter has separate, independent versions of all imported modules, including the fundamental modules `builtins`, `__main__` and `sys`. The table of loaded modules (`sys.modules`) and the module search path (`sys.path`) are also separate. The new environment has no `sys.argv` variable. It has new standard I/O stream file objects `sys.stdin`, `sys.stdout` and `sys.stderr` (however these refer to the same underlying file descriptors).

  The given config controls the options with which the interpreter is initialized.

  Upon success, tstate_p will be set to the first thread state created in the new sub-interpreter. This thread state is made in the current thread state. Note that no actual thread is created; see the discussion of thread states below. If creation of the new interpreter is unsuccessful, tstate_p is set to `NULL`; no exception is set since the exception state is stored in the current thread state and there may not be a current thread state.

  Like all other Python/C API functions, the global interpreter lock must be held before calling this function and is still held when it returns. Likewise a current thread state must be set on entry. On success, the returned thread state will be set as current. If the sub-interpreter is created with its own GIL then the GIL of the calling interpreter will be released. When the function returns, the new interpreter's GIL will be held by the current thread and the previously interpreter's GIL will remain released here.

  在 3.12 版被加入.

  Sub-interpreters are most effective when isolated from each other, with certain functionality restricted:

      PyInterpreterConfig config = {
          .use_main_obmalloc = 0,
          .allow_fork = 0,
          .allow_exec = 0,
          .allow_threads = 1,
          .allow_daemon_threads = 0,
          .check_multi_interp_extensions = 1,
          .gil = PyInterpreterConfig_OWN_GIL,
      };
      PyThreadState *tstate = NULL;
      PyStatus status = Py_NewInterpreterFromConfig(&tstate, &config);
      if (PyStatus_Exception(status)) {
          Py_ExitStatusException(status);
      }

  Note that the config is used only briefly and does not get modified. During initialization the config's values are converted into various `PyInterpreterState` values. A read-only copy of the config may be stored internally on the `PyInterpreterState`.

  Extension modules are shared between (sub-)interpreters as follows:

  - For modules using multi-phase initialization, e.g. `PyModule_FromDefAndSpec()`, a separate module object is created and initialized for each interpreter. Only C-level static and global variables are shared between these module objects.

  - For modules using single-phase initialization, e.g. `PyModule_Create()`, the first time a particular extension is imported, it is initialized normally, and a (shallow) copy of its module's dictionary is squirreled away. When the same extension is imported by another (sub-)interpreter, a new module is initialized and filled with the contents of this copy; the extension's `init` function is not called. Objects in the module's dictionary thus end up shared across (sub-)interpreters, which might cause unwanted behavior (see Bugs and caveats below).

    Note that this is different from what happens when an extension is imported after the interpreter has been completely re-initialized by calling `Py_FinalizeEx()` and `Py_Initialize()`; in that case, the extension's `initmodule` function is called again. As with multi-phase initialization, this means that only C-level static and global variables are shared between these modules.

PyThreadState *Py_NewInterpreter(void)
  為 穩定 ABI 的一部分.

  Create a new sub-interpreter. This is essentially just a wrapper around `Py_NewInterpreterFromConfig()` with a config that preserves the existing behavior. The result is an unisolated sub-interpreter that shares the main interpreter's GIL, allows fork/exec, allows daemon threads, and allows single-phase init modules.

void Py_EndInterpreter( PyThreadState *tstate)
  為 穩定 ABI 的一部分.

  Destroy the (sub-)interpreter represented by the given thread state. The given thread state must be the current thread state. See the discussion of thread states below. When the call returns, the current thread state is `NULL`. All thread states associated with this interpreter are destroyed. The global interpreter lock used by the target interpreter must be held before calling this function. No GIL is held when it returns.

  `Py_FinalizeEx()` will destroy all sub-interpreters that haven't been explicitly destroyed at that point.

### A Per-Interpreter GIL

Using `Py_NewInterpreterFromConfig()` you can create a sub-interpreter that is completely isolated from other interpreters, including having its own GIL. The most important benefit of this isolation is that such an interpreter can execute Python code without being blocked by other interpreters or blocking any others. Thus a single Python process can truly take advantage of multiple CPU cores when running Python code. The isolation also encourages a different approach to concurrency than that of just using threads. (See PEP 554.)

Using an isolated interpreter requires vigilance in preserving that isolation. That especially means not sharing any objects or mutable state without guarantees about thread-safety. Even objects that are otherwise immutable (e.g. `None`, `(1, 5)`) can't normally be shared because of the refcount. One simple but less-efficient approach around this is to use a global lock around all use of some state (or object). Alternately, effectively immutable objects (like integers or strings) can be made safe in spite of their refcounts by making them immortal. In fact, this has been done for the builtin singletons, small integers, and a number of other builtin objects.

If you preserve isolation then you will have access to proper multi-core computing without the complications that come with free-threading. Failure to preserve isolation will expose you to the full consequences of free-threading, including races and hard-to-debug crashes.

Aside from that, one of the main challenges of using multiple isolated interpreters is how to communicate between them safely (not break isolation) and efficiently. The runtime and stdlib do not provide any standard approach to this yet. A future stdlib module would help mitigate the effort of preserving isolation and expose effective tools for communicating (and sharing) data between interpreters.

在 3.12 版被加入.

### Bugs and caveats

Because sub-interpreters (and the main interpreter) are part of the same process, the insulation between them isn't perfect --- for example, using low-level file operations like `os.close()` they can (accidentally or maliciously) affect each other's open files. Because of the way extensions are shared between (sub-)interpreters, some extensions may not work properly; this is especially likely when using single-phase initialization or (static) global variables. It is possible to insert objects created in one sub-interpreter into a namespace of another (sub-)interpreter; this should be avoided if possible.

Special care should be taken to avoid sharing user-defined functions, methods, instances or classes between sub-interpreters, since import operations executed by such objects may affect the wrong (sub-)interpreter's dictionary of loaded modules. It is equally important to avoid sharing objects from which the above are reachable.

Also note that combining this functionality with `PyGILState_*` APIs is delicate, because these APIs assume a bijection between Python thread states and OS-level threads, an assumption broken by the presence of sub-interpreters. It is highly recommended that you don't switch sub-interpreters between a pair of matching `PyGILState_Ensure()` and `PyGILState_Release()` calls. Furthermore, extensions (such as `ctypes`) using these APIs to allow calling of Python code from non-Python created threads will probably be broken when using sub-interpreters.

## Asynchronous Notifications

A mechanism is provided to make asynchronous notifications to the main interpreter thread. These notifications take the form of a function pointer and a void pointer argument.

int Py_AddPendingCall(int (*func)(void*), void *arg)
  為 穩定 ABI 的一部分.

  Schedule a function to be called from the main interpreter thread. On success, `0` is returned and func is queued for being called in the main thread. On failure, `-1` is returned without setting any exception.

  When successfully queued, func will be eventually called from the main interpreter thread with the argument arg. It will be called asynchronously with respect to normally running Python code, but with both these conditions met:

  - on a bytecode boundary;

  - with the main thread holding the global interpreter lock (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 global interpreter lock is released.

  This function doesn't need a current thread state to run, and it doesn't need the global interpreter lock.

  To call this function in a subinterpreter, the caller must hold the GIL. Otherwise, the function func can be scheduled to be called from the wrong interpreter.

  警告

  This is a low-level function, only useful for very special cases. There is no guarantee that func will be called as quick as possible. If the main thread is busy executing a system call, func won't be called before the system call returns. This function is generally not suitable for calling Python code from arbitrary C threads. Instead, use the PyGILState API.

  在 3.1 版被加入.

  在 3.9 版的變更: 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.

## Profiling and Tracing

The Python interpreter provides some low-level support for attaching profiling and execution tracing facilities. These are used for profiling, debugging, and coverage analysis tools.

This C interface allows the profiling or tracing code to avoid the overhead of calling through Python-level callable objects, making a direct C function call instead. The essential attributes of the facility have not changed; the interface allows trace functions to be installed per-thread, and the basic events reported to the trace function are the same as had been reported to the Python-level trace functions in previous versions.

typedef int (*Py_tracefunc)( PyObject *obj, PyFrameObject *frame, int what, PyObject *arg)

  The type of the trace function registered using `PyEval_SetProfile()` and `PyEval_SetTrace()`. The first parameter is the object passed to the registration function as obj, frame is the frame object to which the event pertains, what is one of the constants `PyTrace_CALL`, `PyTrace_EXCEPTION`, `PyTrace_LINE`, `PyTrace_RETURN`, `PyTrace_C_CALL`, `PyTrace_C_EXCEPTION`, `PyTrace_C_RETURN`, or `PyTrace_OPCODE`, and arg depends on the value of what:

  Value of what | arg 的含義
  --- | ---
  `PyTrace_CALL` | Always `Py_None`.
  `PyTrace_EXCEPTION` | Exception information as returned by `sys.exc_info()`.
  `PyTrace_LINE` | Always `Py_None`.
  `PyTrace_RETURN` | Value being returned to the caller, or `NULL` if caused by an exception.
  `PyTrace_C_CALL` | 被呼叫的函式物件。
  `PyTrace_C_EXCEPTION` | 被呼叫的函式物件。
  `PyTrace_C_RETURN` | 被呼叫的函式物件。
  `PyTrace_OPCODE` | Always `Py_None`.

int PyTrace_CALL

  The value of the what parameter to a `Py_tracefunc` function when a new call to a function or method is being reported, or a new entry into a generator. Note that the creation of the iterator for a generator function is not reported as there is no control transfer to the Python bytecode in the corresponding frame.

int PyTrace_EXCEPTION

  The value of the what parameter to a `Py_tracefunc` function when an exception has been raised. The callback function is called with this value for what when after any bytecode is processed after which the exception becomes set within the frame being executed. The effect of this is that as exception propagation causes the Python stack to unwind, the callback is called upon return to each frame as the exception propagates. Only trace functions receives these events; they are not needed by the profiler.

int PyTrace_LINE

  The value passed as the what parameter to a `Py_tracefunc` function (but not a profiling function) when a line-number event is being reported. It may be disabled for a frame by setting `f_trace_lines` to 0 on that frame.

int PyTrace_RETURN

  The value for the what parameter to `Py_tracefunc` functions when a call is about to return.

int PyTrace_C_CALL

  The value for the what parameter to `Py_tracefunc` functions when a C function is about to be called.

int PyTrace_C_EXCEPTION

  The value for the what parameter to `Py_tracefunc` functions when a C function has raised an exception.

int PyTrace_C_RETURN

  The value for the what parameter to `Py_tracefunc` functions when a C function has returned.

int PyTrace_OPCODE

  The value for the what parameter to `Py_tracefunc` functions (but not profiling functions) when a new opcode is about to be executed. This event is not emitted by default: it must be explicitly requested by setting `f_trace_opcodes` to 1 on the frame.

void PyEval_SetProfile( Py_tracefunc func, PyObject *obj)

  Set the profiler function to func. The obj parameter is passed to the function as its first parameter, and may be any Python object, or `NULL`. If the profile function needs to maintain state, using a different value for obj for each thread provides a convenient and thread-safe place to store it. The profile function is called for all monitored events except `PyTrace_LINE` `PyTrace_OPCODE` and `PyTrace_EXCEPTION`.

  See also the `sys.setprofile()` function.

  呼叫者必須持有 GIL。

void PyEval_SetProfileAllThreads( Py_tracefunc func, PyObject *obj)

  Like `PyEval_SetProfile()` but sets the profile function in all running threads belonging to the current interpreter instead of the setting it only on the current thread.

  呼叫者必須持有 GIL。

  As `PyEval_SetProfile()`, this function ignores any exceptions raised while setting the profile functions in all threads.

在 3.12 版被加入.

void PyEval_SetTrace( Py_tracefunc func, PyObject *obj)

  Set the tracing function to func. This is similar to `PyEval_SetProfile()`, except the tracing function does receive line-number events and per-opcode events, but does not receive any event related to C function objects being called. Any trace function registered using `PyEval_SetTrace()` will not receive `PyTrace_C_CALL`, `PyTrace_C_EXCEPTION` or `PyTrace_C_RETURN` as a value for the what parameter.

  也請見 `sys.settrace()` 函式。

  呼叫者必須持有 GIL。

void PyEval_SetTraceAllThreads( Py_tracefunc func, PyObject *obj)

  Like `PyEval_SetTrace()` but sets the tracing function in all running threads belonging to the current interpreter instead of the setting it only on the current thread.

  呼叫者必須持有 GIL。

  As `PyEval_SetTrace()`, this function ignores any exceptions raised while setting the trace functions in all threads.

在 3.12 版被加入.

## Reference tracing

在 3.13 版被加入.

typedef int (*PyRefTracer)( PyObject *, int event, void *data)

  The type of the trace function registered using `PyRefTracer_SetTracer()`. The first parameter is a Python object that has been just created (when event is set to `PyRefTracer_CREATE`) or about to be destroyed (when event is set to `PyRefTracer_DESTROY`). The data argument is the opaque pointer that was provided when `PyRefTracer_SetTracer()` was called.

在 3.13 版被加入.

int PyRefTracer_CREATE

  The value for the event parameter to `PyRefTracer` functions when a Python object has been created.

int PyRefTracer_DESTROY

  The value for the event parameter to `PyRefTracer` functions when a Python object has been destroyed.

int PyRefTracer_SetTracer( PyRefTracer tracer, void *data)

  Register a reference tracer function. The function will be called when a new Python has been created or when an object is going to be destroyed. If data is provided it must be an opaque pointer that will be provided when the tracer function is called. Return `0` on success. Set an exception and return `-1` on error.

  Not that tracer functions must not create Python objects inside or otherwise the call will be re-entrant. The tracer also must not clear any existing exception or set an exception. The GIL will be held every time the tracer function is called.

  The GIL must be held when calling this function.

在 3.13 版被加入.

PyRefTracer PyRefTracer_GetTracer(void **data)

  Get the registered reference tracer function and the value of the opaque data pointer that was registered when `PyRefTracer_SetTracer()` was called. If no tracer was registered this function will return NULL and will set the data pointer to NULL.

  The GIL must be held when calling this function.

在 3.13 版被加入.

## Advanced Debugger Support

These functions are only intended to be used by advanced debugging tools.

PyInterpreterState *PyInterpreterState_Head()

  Return the interpreter state object at the head of the list of all such objects.

PyInterpreterState *PyInterpreterState_Main()

  Return the main interpreter state object.

PyInterpreterState *PyInterpreterState_Next( PyInterpreterState *interp)

  Return the next interpreter state object after interp from the list of all such objects.

PyThreadState *PyInterpreterState_ThreadHead( PyInterpreterState *interp)

  Return the pointer to the first `PyThreadState` object in the list of threads associated with the interpreter interp.

PyThreadState *PyThreadState_Next( PyThreadState *tstate)

  Return the next thread state object after tstate from the list of all such objects belonging to the same `PyInterpreterState` object.

## Thread Local Storage Support

The Python interpreter provides low-level support for thread-local storage (TLS) which wraps the underlying native TLS implementation to support the Python-level thread local storage API (`threading.local`). The CPython C level APIs are similar to those offered by pthreads and Windows: use a thread key and functions to associate a void* value per thread.

The GIL does not need to be held when calling these functions; they supply their own locking.

Note that `Python.h` does not include the declaration of the TLS APIs, you need to include `pythread.h` to use thread-local storage.

備註

None of these API functions handle 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.

### Thread Specific Storage (TSS) API

TSS API is introduced to supersede the use of the existing TLS API within the CPython interpreter. This API uses a new type `Py_tss_t` instead of int to represent thread keys.

在 3.7 版被加入.

也參考

"A New C-API for Thread-Local Storage in CPython" ( PEP 539)

type Py_tss_t

  This data structure represents the state of a thread key, the definition of which may depend on the underlying TLS implementation, and it has an internal field representing the key's initialization state. There are no public members in this structure.

  When Py_LIMITED_API is not defined, static allocation of this type by `Py_tss_NEEDS_INIT` is allowed.

Py_tss_NEEDS_INIT

  This macro expands to the initializer for `Py_tss_t` variables. Note that this macro won't be defined with Py_LIMITED_API.

#### Dynamic Allocation

Dynamic allocation of the `Py_tss_t`, required in extension modules built with Py_LIMITED_API, where static allocation of this type is not possible due to its implementation being opaque at build time.

Py_tss_t *PyThread_tss_alloc()
  為 穩定 ABI 的一部分 自 3.7 版本開始.

  Return a value which is the same state as a value initialized with `Py_tss_NEEDS_INIT`, or `NULL` in the case of dynamic allocation failure.

void PyThread_tss_free( Py_tss_t *key)
  為 穩定 ABI 的一部分 自 3.7 版本開始.

  Free the given key allocated by `PyThread_tss_alloc()`, after first calling `PyThread_tss_delete()` to ensure any associated thread locals have been unassigned. This is a no-op if the key argument is `NULL`.

  備註

  A freed key becomes a dangling pointer. You should reset the key to `NULL`.

#### 方法

The parameter key of these functions must not be `NULL`. Moreover, the behaviors of `PyThread_tss_set()` and `PyThread_tss_get()` are undefined if the given `Py_tss_t` has not been initialized by `PyThread_tss_create()`.

int PyThread_tss_is_created( Py_tss_t *key)
  為 穩定 ABI 的一部分 自 3.7 版本開始.

  Return a non-zero value if the given `Py_tss_t` has been initialized by `PyThread_tss_create()`.

int PyThread_tss_create( Py_tss_t *key)
  為 穩定 ABI 的一部分 自 3.7 版本開始.

  Return a zero value on successful initialization of a TSS key. The behavior is undefined if the value pointed to by the key argument is not initialized by `Py_tss_NEEDS_INIT`. This function can be called repeatedly on the same key -- calling it on an already initialized key is a no-op and immediately returns success.

void PyThread_tss_delete( Py_tss_t *key)
  為 穩定 ABI 的一部分 自 3.7 版本開始.

  Destroy a TSS key to forget the values associated with the key across all threads, and change the key's initialization state to uninitialized. A destroyed key is able to be initialized again by `PyThread_tss_create()`. This function can be called repeatedly on the same key -- calling it on an already destroyed key is a no-op.

int PyThread_tss_set( Py_tss_t *key, void *value)
  為 穩定 ABI 的一部分 自 3.7 版本開始.

  Return a zero value to indicate successfully associating a void* value with a TSS key in the current thread. Each thread has a distinct mapping of the key to a void* value.

void *PyThread_tss_get( Py_tss_t *key)
  為 穩定 ABI 的一部分 自 3.7 版本開始.

  Return the void* value associated with a TSS key in the current thread. This returns `NULL` if no value is associated with the key in the current thread.

### 執行緒局部儲存 (Thread Local Storage, TLS) API：

在 3.7 版之後被棄用: This API is superseded by Thread Specific Storage (TSS) API.

備註

This version of the API does not support platforms where the native TLS key is defined in a way that cannot be safely cast to `int`. On such platforms, `PyThread_create_key()` will return immediately with a failure status, and the other TLS functions will all be no-ops on such platforms.

Due to the compatibility problem noted above, this version of the API should not be used in new code.

int PyThread_create_key()
  為 穩定 ABI 的一部分.

void PyThread_delete_key(int key)
  為 穩定 ABI 的一部分.

int PyThread_set_key_value(int key, void *value)
  為 穩定 ABI 的一部分.

void *PyThread_get_key_value(int key)
  為 穩定 ABI 的一部分.

void PyThread_delete_key_value(int key)
  為 穩定 ABI 的一部分.

void PyThread_ReInitTLS()
  為 穩定 ABI 的一部分.

## Synchronization Primitives

The C-API provides a basic mutual exclusion lock.

type PyMutex

  A mutual exclusion lock. The `PyMutex` should be initialized to zero to represent the unlocked state. For example:

      PyMutex mutex = {0};

  Instances of `PyMutex` should not be copied or moved. Both the contents and address of a `PyMutex` are meaningful, and it must remain at a fixed, writable location in memory.

  備註

  A `PyMutex` currently occupies one byte, but the size should be considered unstable. The size may change in future Python releases without a deprecation period.

  在 3.13 版被加入.

void PyMutex_Lock( PyMutex *m)

  Lock mutex m. If another thread has already locked it, the calling thread will block until the mutex is unlocked. While blocked, the thread will temporarily release the GIL if it is held.

  在 3.13 版被加入.

void PyMutex_Unlock( PyMutex *m)

  Unlock mutex m. The mutex must be locked --- otherwise, the function will issue a fatal error.

  在 3.13 版被加入.

### Python Critical Section API

The critical section API provides a deadlock avoidance layer on top of per-object locks for free-threaded CPython. They are intended to replace reliance on the global interpreter lock, and are no-ops in versions of Python with the global interpreter lock.

Critical sections avoid deadlocks by implicitly suspending active critical sections and releasing the locks during calls to `PyEval_SaveThread()`. When `PyEval_RestoreThread()` is called, the most recent critical section is resumed, and its locks reacquired. This means the critical section API provides weaker guarantees than traditional locks -- they are useful because their behavior is similar to the GIL.

The functions and structs used by the macros are exposed for cases where C macros are not available. They should only be used as in the given macro expansions. Note that the sizes and contents of the structures may change in future Python versions.

備註

Operations that need to lock two objects at once must use `Py_BEGIN_CRITICAL_SECTION2`. You cannot use nested critical sections to lock more than one object at once, because the inner critical section may suspend the outer critical sections. This API does not provide a way to lock more than two objects at once.

Example usage:

    static PyObject *
    set_field(MyObject *self, PyObject *value)
    {
       Py_BEGIN_CRITICAL_SECTION(self);
       Py_SETREF(self->field, Py_XNewRef(value));
       Py_END_CRITICAL_SECTION();
       Py_RETURN_NONE;
    }

In the above example, `Py_SETREF` calls `Py_DECREF`, which can call arbitrary code through an object's deallocation function. The critical section API avoids potential deadlocks due to reentrancy and lock ordering by allowing the runtime to temporarily suspend the critical section if the code triggered by the finalizer blocks and calls `PyEval_SaveThread()`.

Py_BEGIN_CRITICAL_SECTION(op)

  Acquires the per-object lock for the object op and begins a critical section.

  In the free-threaded build, this macro expands to:

      {
          PyCriticalSection _py_cs;
          PyCriticalSection_Begin(&_py_cs, (PyObject*)(op))

  In the default build, this macro expands to `{`.

  在 3.13 版被加入.

Py_END_CRITICAL_SECTION()

  Ends the critical section and releases the per-object lock.

  In the free-threaded build, this macro expands to:

          PyCriticalSection_End(&_py_cs);
      }

  In the default build, this macro expands to `}`.

  在 3.13 版被加入.

Py_BEGIN_CRITICAL_SECTION2(a, b)

  Acquires the per-objects locks for the objects a and b and begins a critical section. The locks are acquired in a consistent order (lowest address first) to avoid lock ordering deadlocks.

  In the free-threaded build, this macro expands to:

      {
          PyCriticalSection2 _py_cs2;
          PyCriticalSection2_Begin(&_py_cs2, (PyObject*)(a), (PyObject*)(b))

  In the default build, this macro expands to `{`.

  在 3.13 版被加入.

Py_END_CRITICAL_SECTION2()

  Ends the critical section and releases the per-object locks.

  In the free-threaded build, this macro expands to:

          PyCriticalSection2_End(&_py_cs2);
      }

  In the default build, this macro expands to `}`.

  在 3.13 版被加入.