# Initialization, Finalization, and Threads

See Python Initialization Configuration for details on how to configure the interpreter prior to initialization.

## Before Python Initialization

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 Initialization Configuration

- Configuration functions:

  - `PyImport_AppendInittab()`

  - `PyImport_ExtendInittab()`

  - `PyInitFrozenExtensions()`

  - `PyMem_SetAllocator()`

  - `PyMem_SetupDebugHooks()`

  - `PyObject_SetArenaAllocator()`

  - `Py_SetProgramName()`

  - `Py_SetPythonHome()`

  - the configuration functions covered in Python Initialization Configuration

- 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 Initialization Configuration

- Memory allocators:

  - `PyMem_RawMalloc()`

  - `PyMem_RawRealloc()`

  - `PyMem_RawCalloc()`

  - `PyMem_RawFree()`

- Synchronization:

  - `PyMutex_Lock()`

  - `PyMutex_Unlock()`

Observera

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()`, `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`.

  Set by the `-b` option.

  Deprecated since version 3.12, removed in version 3.15.

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).

  Set by the `-d` option and the `PYTHONDEBUG` environment variable.

  Deprecated since version 3.12, removed in version 3.15.

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.

  Set by the `-B` option and the `PYTHONDONTWRITEBYTECODE` environment variable.

  Deprecated since version 3.12, removed in version 3.15.

int Py_FrozenFlag

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

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

  Deprecated since version 3.12, removed in version 3.15.

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.

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

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

  Deprecated since version 3.12, removed in version 3.15.

int Py_IgnoreEnvironmentFlag

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

  Ignore all `PYTHON*` environment variables, e.g. `PYTHONPATH` and `PYTHONHOME`, that might be set.

  Set by the `-E` and `-I` options.

  Deprecated since version 3.12, removed in version 3.15.

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.

  Set by the `-i` option and the `PYTHONINSPECT` environment variable.

  Deprecated since version 3.12, removed in version 3.15.

int Py_InteractiveFlag

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

  Set by the `-i` option.

  Deprecated since version 3.12, removed in version 3.15.

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.

  Set by the `-I` option.

  Added in version 3.4.

  Deprecated since version 3.12, removed in version 3.15.

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.

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

  See PEP 529 for more details.

  Tillgänglighet: Windows.

  Deprecated since version 3.12, removed in version 3.15.

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.

  See PEP 528 for more details.

  Tillgänglighet: Windows.

  Deprecated since version 3.12, removed in version 3.15.

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).

  Set by the `-S` option.

  Deprecated since version 3.12, removed in version 3.15.

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`.

  Set by the `-s` and `-I` options, and the `PYTHONNOUSERSITE` environment variable.

  Deprecated since version 3.12, removed in version 3.15.

int Py_OptimizeFlag

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

  Set by the `-O` option and the `PYTHONOPTIMIZE` environment variable.

  Deprecated since version 3.12, removed in version 3.15.

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.

  Set by the `-q` option.

  Added in version 3.2.

  Deprecated since version 3.12, removed in version 3.15.

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.

  Set by the `-u` option and the `PYTHONUNBUFFERED` environment variable.

  Deprecated since version 3.12, removed in version 3.15.

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.

  Set by the `-v` option and the `PYTHONVERBOSE` environment variable.

  Deprecated since version 3.12, removed in version 3.15.

## Initializing and finalizing the interpreter

void Py_Initialize()
  Del av Stabil ABI.

  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.

  Observera

  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)
  Del av Stabil ABI.

  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 Initialization Configuration section for details on pre-initializing the interpreter, populating the runtime configuration structure, and querying the returned status structure.

int Py_IsInitialized()
  Del av Stabil ABI.

  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()
  Del av Stabil ABI sedan version 3.13.

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

  Added in version 3.13.

int Py_FinalizeEx()
  Del av Stabil ABI sedan version 3.6.

  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()`. 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.

  Note that Python will do a best effort at freeing all memory allocated by the Python interpreter. Therefore, any C-Extension should make sure to correctly clean up all of the preveiously allocated PyObjects before using them in subsequent calls to `Py_Initialize()`. Otherwise it could introduce vulnerabilities and incorrect behavior.

  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. Interned strings will all be deallocated regardless of their reference count. 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. `Py_FinalizeEx()` must not be called recursively from within itself. Therefore, it must not be called by any code that may be run as part of the interpreter shutdown process, such as `atexit` handlers, object finalizers, or any code that may be run while flushing the stdout and stderr files.

  Raises an auditing event `cpython._PySys_ClearAuditHooks` with no arguments.

  Added in version 3.6.

void Py_Finalize()
  Del av Stabil ABI.

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

int Py_BytesMain(int argc, char **argv)
  Del av Stabil ABI sedan version 3.8.

  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.

  Added in version 3.8.

int Py_Main(int argc, wchar_t **argv)
  Del av Stabil ABI.

  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 Command line.

  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 is `2` if the argument list does not represent a valid Python command line, and otherwise the same as `Py_RunMain()`.

  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), the exit status of an unhandled `SystemExit`, or `1` for any other unhandled exception.

  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: `0`, `1`, or the status of a `SystemExit`, as specified above.

  This function always finalizes the Python interpreter before it returns.

  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)
  Detta är Instabilt API. Den kan ändras utan förvarning i mindre versioner.

  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.

  There must be an attached thread state for interp.

  Added in version 3.13.

## Process-wide parameters

void Py_SetProgramName(const wchar_t *name)
  Del av Stabil ABI.

  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 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.

  Deprecated since version 3.11, removed in version 3.15.

const char *Py_GetVersion()
  Del av Stabil ABI.

  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()
  Del av Stabil ABI.

  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()
  Del av Stabil ABI.

  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()
  Del av Stabil ABI.

  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()
  Del av Stabil ABI.

  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)
  Del av Stabil ABI.

  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.

  Observera

  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");

  Added in version 3.1.3.

  Deprecated since version 3.11, removed in version 3.15.

void PySys_SetArgv(int argc, wchar_t **argv)
  Del av Stabil ABI.

  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.

  Förändrat i version 3.4: The updatepath value depends on `-I`.

  Deprecated since version 3.11, removed in version 3.15.

void Py_SetPythonHome(const wchar_t *home)
  Del av Stabil ABI.

  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.

  Deprecated since version 3.11, removed in version 3.15.

## Thread State and the Global Interpreter Lock

Unless on a free-threaded build of CPython, 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`, known as a thread state. Each OS 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 to call most of the C API.

In general, there will always be an attached thread state when using Python’s C API. Only in some specific cases (such as in a `Py_BEGIN_ALLOW_THREADS` block) will the thread not have an attached thread state. If uncertain, check if `PyThreadState_GetUnchecked()` returns `NULL`.

### 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.

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 attached thread state holds the GIL for the entire interpreter. When detaching the attached thread state, the GIL is released, allowing other threads to attach a thread state to their own thread, thus getting the GIL and can start executing. The pointer to the prior attached thread state is stored as a local variable. Upon reaching `Py_END_ALLOW_THREADS`, the thread state that was previously attached is passed to `PyEval_RestoreThread()`. This function will block until another releases its thread state, thus allowing the old thread state to get re-attached and the C API can be called again.

For free-threaded builds, the GIL is normally out of the question, but detaching the thread state is still required for blocking I/O and long operations. The difference is that threads don’t have to wait for the GIL to be released to attach their thread state, allowing true multi-core parallelism.

Observera

Calling system I/O functions is the most common use case for detaching the thread state, 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 detach the thread state 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, because they don’t have 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 an attached thread state before you can start using the Python/C API. When you are done, you should detach the thread state, and finally free it.

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. This is because `PyGILState_Ensure()` and similar functions default to attaching a thread state for the main interpreter, meaning that the thread can’t safely interact with the calling subinterpreter.

### Supporting subinterpreters in non-Python threads

If you would like to support subinterpreters with non-Python created threads, you must use the `PyThreadState_*` API instead of the traditional `PyGILState_*` API.

In particular, you must store the interpreter state from the calling function and pass it to `PyThreadState_New()`, which will ensure that the thread state is targeting the correct interpreter:

    /* The return value of PyInterpreterState_Get() from the
       function that created this thread. */
    PyInterpreterState *interp = ThreadData->interp;
    PyThreadState *tstate = PyThreadState_New(interp);
    PyThreadState_Swap(tstate);

    /* GIL of the subinterpreter is now held.
       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();

### 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.

### Cautions regarding runtime finalization

In the late stage of interpreter shutdown, after attempting to wait for non-daemon threads to exit (though this can be interrupted by `KeyboardInterrupt`) and running the `atexit` functions, the runtime is marked as finalizing: `Py_IsFinalizing()` and `sys.is_finalizing()` return true. At this point, only the finalization thread that initiated finalization (typically the main thread) is allowed to acquire the GIL.

If any thread, other than the finalization thread, attempts to attach a thread state during finalization, either explicitly or implicitly, the thread enters a permanently blocked state where it remains until the program exits. In most cases this is harmless, but this can result in deadlock if a later stage of finalization attempts to acquire a lock owned by the blocked thread, or otherwise waits on the blocked thread.

Gross? Yes. This prevents random crashes and/or unexpectedly skipped C++ finalizations further up the call stack when such threads were forcibly exited here in CPython 3.13 and earlier. The CPython runtime thread state C APIs have never had any error reporting or handling expectations at thread state attachment time that would’ve allowed for graceful exit from this situation. Changing that would require new stable C APIs and rewriting the majority of C code in the CPython ecosystem to use those with error handling.

### High-level API

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

type PyInterpreterState
  Del av Begränsat API (som en opak 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.

  Förändrat i version 3.12: PEP 684 introduced the possibility of a per-interpreter GIL. See `Py_NewInterpreterFromConfig()`.

type PyThreadState
  Del av Begränsat API (som en opak 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()
  Del av Stabil ABI.

  Deprecated function which does nothing.

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

  Förändrat i version 3.9: The function now does nothing.

  Förändrat i version 3.7: This function is now called by `Py_Initialize()`, so you don’t have to call it yourself anymore.

  Förändrat i version 3.2: This function cannot be called before `Py_Initialize()` anymore.

  Ersatt sedan version 3.9.

PyThreadState *PyEval_SaveThread()
  Del av Stabil ABI.

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

void PyEval_RestoreThread(PyThreadState *tstate)
  Del av Stabil 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.

  Observera

  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.

  Förändrat i version 3.14: Hangs the current thread, rather than terminating it, if called while the interpreter is finalizing.

PyThreadState *PyThreadState_Get()
  Del av Stabil 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)
  Del av Stabil 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.

  Se även

  `PyEval_ReleaseThread()`

  Observera

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

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

type PyGILState_STATE
  Del av Stabil 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()
  Del av Stabil 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.

  Varning

  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.

  Förändrat i version 3.14: Hangs the current thread, rather than terminating it, if called while the interpreter is finalizing.

void PyGILState_Release(PyGILState_STATE)
  Del av Stabil ABI.

  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()
  Del av Stabil 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.

  Observera

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

  Se även

  `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.

  Observera

  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.

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

Py_BEGIN_ALLOW_THREADS
  Del av Stabil ABI.

  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
  Del av Stabil ABI.

  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
  Del av Stabil ABI.

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

Py_UNBLOCK_THREADS
  Del av Stabil ABI.

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

### Low-level API

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

Förändrat i version 3.7: `Py_Initialize()` now initializes the GIL and sets an attached thread state.

PyInterpreterState *PyInterpreterState_New()
  Del av Stabil ABI.

  Create a new interpreter state object. An attached thread state is not needed, but may optionally exist if it is necessary to serialize calls to this function.

  Raises an auditing event `cpython.PyInterpreterState_New` with no arguments.

void PyInterpreterState_Clear(PyInterpreterState *interp)
  Del av Stabil ABI.

  Reset all information in an interpreter state object. There must be an attached thread state for the interpreter.

  Raises an auditing event `cpython.PyInterpreterState_Clear` with no arguments.

void PyInterpreterState_Delete(PyInterpreterState *interp)
  Del av Stabil ABI.

  Destroy an interpreter state object. There should not be an attached thread state for the target interpreter. The interpreter state must have been reset with a previous call to `PyInterpreterState_Clear()`.

PyThreadState *PyThreadState_New(PyInterpreterState *interp)
  Del av Stabil 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)
  Del av Stabil ABI.

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

  Förändrat i version 3.9: This function now calls the `PyThreadState.on_delete` callback. Previously, that happened in `PyThreadState_Delete()`.

  Förändrat i version 3.13: The `PyThreadState.on_delete` callback was removed.

void PyThreadState_Delete(PyThreadState *tstate)
  Del av Stabil 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)
  Del av Stabil ABI sedan version 3.10.

  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)
  Del av Stabil ABI sedan version 3.10.

  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)
  Del av Stabil ABI sedan version 3.10.

  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)
  Detta är Instabilt API. Den kan ändras utan förvarning i mindre versioner.

  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)
  Detta är Instabilt API. Den kan ändras utan förvarning i mindre versioner.

  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.

PyInterpreterState *PyInterpreterState_Get(void)
  Del av Stabil ABI sedan version 3.9.

  Get the current interpreter.

  Issue a fatal error if there no attached thread state. It cannot return NULL.

  Added in version 3.9.

int64_t PyInterpreterState_GetID(PyInterpreterState *interp)
  Del av Stabil ABI sedan version 3.7.

  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 have an attached thread state.

  Added in version 3.7.

PyObject *PyInterpreterState_GetDict(PyInterpreterState *interp)
  Returnera värde: Lånad referens. Del av Stabil ABI sedan version 3.8.

  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.

  The returned dictionary is borrowed from the interpreter and is valid until interpreter shutdown.

  Added in version 3.8.

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.

  Förändrat i version 3.9: The function now takes a tstate parameter.

  Förändrat i version 3.11: 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”.

  Added in version 3.9.

void _PyInterpreterState_SetEvalFrameFunc(PyInterpreterState *interp, _PyFrameEvalFunction eval_frame)

  Set the frame evaluation function.

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

  Added in version 3.9.

PyObject *PyThreadState_GetDict()
  Returnera värde: Lånad referens. Del av Stabil 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.

int PyThreadState_SetAsyncExc(unsigned long id, PyObject *exc)
  Del av Stabil 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.

  Förändrat i version 3.7: The type of the id parameter changed from long to unsigned long.

void PyEval_AcquireThread(PyThreadState *tstate)
  Del av Stabil 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.

  Observera

  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.

  Förändrat i version 3.8: 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.

  Förändrat i version 3.14: Hangs the current thread, rather than terminating it, 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)
  Del av Stabil 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()` 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.

  Added in version 3.12.

  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 attached. 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 attached thread state, which might not exist.

  Like all other Python/C API functions, an attached thread state must be present before calling this function, but it might be detached upon returning. On success, the returned thread state will be attached. If the sub-interpreter is created with its own GIL then the attached thread state of the calling interpreter will be detached. When the function returns, the new interpreter’s thread state will be attached to the current thread and the previous interpreter’s attached thread state will remain detached.

  Added in version 3.12.

  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 legacy 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)
  Del av Stabil ABI.

  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)
  Del av Stabil ABI.

  Destroy the (sub-)interpreter represented by the given thread state. The given thread state must be attached. When the call returns, there will be no attached thread state. All thread states associated with this interpreter are destroyed.

  `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 and PEP 684.)

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.

Added in version 3.12.

### 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)
  Del av Stabil ABI.

  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 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.

  Varning

  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.

  Added in version 3.1.

  Förändrat i version 3.9: 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.

  Förändrat i version 3.12: This function now always schedules func to be run in the main interpreter.

int Py_MakePendingCalls(void)
  Del av Stabil 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.

  Förändrat i version 3.12: This function only runs pending calls in the main interpreter.

## 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 | Meaning of arg
  --- | ---
  `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` | Function object being called.
  `PyTrace_C_EXCEPTION` | Function object being called.
  `PyTrace_C_RETURN` | Function object being called.
  `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.

  The caller must have an attached thread state.

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.

  The caller must have an attached thread state.

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

Added in version 3.12.

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.

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

  The caller must have an attached thread state.

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.

  The caller must have an attached thread state.

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

Added in version 3.12.

## Reference tracing

Added in version 3.13.

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.

  If a new tracing function is registered replacing the current a call to the trace function will be made with the object set to NULL and event set to `PyRefTracer_TRACKER_REMOVED`. This will happen just before the new function is registered.

Added in version 3.13.

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_TRACKER_REMOVED

  The value for the event parameter to `PyRefTracer` functions when the current tracer is about to be replaced by a new one.

  Added in version 3.14.

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. A thread state will be active every time the tracer function is called.

  There must be an attached thread state when calling this function.

  If another tracer function was already registered, the old function will be called with event set to `PyRefTracer_TRACKER_REMOVED` just before the new function is registered.

Added in version 3.13.

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.

  There must be an attached thread state when calling this function.

Added in version 3.13.

## 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.

A thread state does not need to be attached 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.

Observera

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.

Added in version 3.7.

Se även

”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()
  Del av Stabil ABI sedan version 3.7.

  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)
  Del av Stabil ABI sedan version 3.7.

  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`.

  Observera

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

#### Methods

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)
  Del av Stabil ABI sedan version 3.7.

  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)
  Del av Stabil ABI sedan version 3.7.

  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)
  Del av Stabil ABI sedan version 3.7.

  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)
  Del av Stabil ABI sedan version 3.7.

  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)
  Del av Stabil ABI sedan version 3.7.

  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.

### Thread Local Storage (TLS) API

Ersatt sedan version 3.7: This API is superseded by Thread Specific Storage (TSS) API.

Observera

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()
  Del av Stabil ABI.

void PyThread_delete_key(int key)
  Del av Stabil ABI.

int PyThread_set_key_value(int key, void *value)
  Del av Stabil ABI.

void *PyThread_get_key_value(int key)
  Del av Stabil ABI.

void PyThread_delete_key_value(int key)
  Del av Stabil ABI.

void PyThread_ReInitTLS()
  Del av Stabil ABI.

## 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.

  Observera

  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.

  Added in version 3.13.

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 detach the thread state if one exists.

  Added in version 3.13.

void PyMutex_Unlock(PyMutex *m)

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

  Added in version 3.13.

int PyMutex_IsLocked(PyMutex *m)

  Returns non-zero if the mutex m is currently locked, zero otherwise.

  Observera

  This function is intended for use in assertions and debugging only and should not be used to make concurrency control decisions, as the lock state may change immediately after the check.

  Added in version 3.14.

### 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 are intended to be used for custom types implemented in C-API extensions. They should generally not be used with built-in types like `list` and `dict` because their public C-APIs already use critical sections internally, with the notable exception of `PyDict_Next()`, which requires critical section to be acquired externally.

Critical sections avoid deadlocks by implicitly suspending active critical sections, hence, they do not provide exclusive access such as provided by traditional locks like `PyMutex`. When a critical section is started, the per-object lock for the object is acquired. If the code executed inside the critical section calls C-API functions then it can suspend the critical section thereby releasing the per-object lock, so other threads can acquire the per-object lock for the same object.

Variants that accept `PyMutex` pointers rather than Python objects are also available. Use these variants to start a critical section in a situation where there is no `PyObject` – for example, when working with a C type that does not extend or wrap `PyObject` but still needs to call into the C API in a manner that might lead to deadlocks.

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.

Observera

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 `{`.

  Added in version 3.13.

Py_BEGIN_CRITICAL_SECTION_MUTEX(m)

  Locks the mutex m and begins a critical section.

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

      {
           PyCriticalSection _py_cs;
           PyCriticalSection_BeginMutex(&_py_cs, m)

  Note that unlike `Py_BEGIN_CRITICAL_SECTION`, there is no cast for the argument of the macro - it must be a `PyMutex` pointer.

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

  Added in version 3.14.

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 `}`.

  Added in version 3.13.

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 `{`.

  Added in version 3.13.

Py_BEGIN_CRITICAL_SECTION2_MUTEX(m1, m2)

  Locks the mutexes m1 and m2 and begins a critical section.

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

      {
           PyCriticalSection2 _py_cs2;
           PyCriticalSection2_BeginMutex(&_py_cs2, m1, m2)

  Note that unlike `Py_BEGIN_CRITICAL_SECTION2`, there is no cast for the arguments of the macro - they must be `PyMutex` pointers.

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

  Added in version 3.14.

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 `}`.

  Added in version 3.13.

### Legacy Locking APIs

These APIs are obsolete since Python 3.13 with the introduction of `PyMutex`.

Förändrat i version 3.15: These APIs are now a simple wrapper around `PyMutex`.

type PyThread_type_lock

  A pointer to a mutual exclusion lock.

type PyLockStatus

  The result of acquiring a lock with a timeout.

  enumerator PY_LOCK_FAILURE

    Failed to acquire the lock.

  enumerator PY_LOCK_ACQUIRED

    The lock was successfully acquired.

  enumerator PY_LOCK_INTR

    The lock was interrupted by a signal.

PyThread_type_lock PyThread_allocate_lock(void)
  Del av Stabil ABI.

  Allocate a new lock.

  On success, this function returns a lock; on failure, this function returns `0` without an exception set.

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

  Förändrat i version 3.15: This function now always uses `PyMutex`. In prior versions, this would use a lock provided by the operating system.

void PyThread_free_lock(PyThread_type_lock lock)
  Del av Stabil ABI.

  Destroy lock. The lock should not be held by any thread when calling this.

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

PyLockStatus PyThread_acquire_lock_timed(PyThread_type_lock lock, long long microseconds, int intr_flag)
  Del av Stabil ABI.

  Acquire lock with a timeout.

  This will wait for microseconds microseconds to acquire the lock. If the timeout expires, this function returns `PY_LOCK_FAILURE`. If microseconds is `-1`, this will wait indefinitely until the lock has been released.

  If intr_flag is `1`, acquiring the lock may be interrupted by a signal, in which case this function returns `PY_LOCK_INTR`. Upon interruption, it’s generally expected that the caller makes a call to `Py_MakePendingCalls()` to propagate an exception to Python code.

  If the lock is successfully acquired, this function returns `PY_LOCK_ACQUIRED`.

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

int PyThread_acquire_lock(PyThread_type_lock lock, int waitflag)
  Del av Stabil ABI.

  Acquire lock.

  If waitflag is `1` and another thread currently holds the lock, this function will wait until the lock can be acquired and will always return `1`.

  If waitflag is `0` and another thread holds the lock, this function will not wait and instead return `0`. If the lock is not held by any other thread, then this function will acquire it and return `1`.

  Unlike `PyThread_acquire_lock_timed()`, acquiring the lock cannot be interrupted by a signal.

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

int PyThread_release_lock(PyThread_type_lock lock)
  Del av Stabil ABI.

  Release lock. If lock is not held, then this function issues a fatal error.

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

## 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)
  Del av Stabil 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)
  Del av Stabil 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.

  Se även

  `threading.get_ident()`

PyObject *PyThread_GetInfo(void)
  Del av Stabil ABI sedan version 3.3.

  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)
  Del av Stabil 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.

  Se även

  `threading.get_native_id()`

void PyThread_exit_thread(void)
  Del av Stabil 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.

  Varning

  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.

  Ersatt sedan version 3.14.

void PyThread_init_thread(void)
  Del av Stabil 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)
  Del av Stabil 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)
  Del av Stabil 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.