path: root/Doc/c-api/init.rst

.. highlight:: c


.. _initialization:

*****************************************
Initialization, Finalization, and Threads
*****************************************

See also :ref:`Python Initialization Configuration <init-config>`.

.. _pre-init-safe:

Before Python Initialization
============================

In an application embedding  Python, the :c:func:`Py_Initialize` function must
be called before using any other Python/C API functions; with the exception of
a few functions and the :ref:`global configuration variables
<global-conf-vars>`.

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

* Configuration functions:

  * :c:func:`PyImport_AppendInittab`
  * :c:func:`PyImport_ExtendInittab`
  * :c:func:`!PyInitFrozenExtensions`
  * :c:func:`PyMem_SetAllocator`
  * :c:func:`PyMem_SetupDebugHooks`
  * :c:func:`PyObject_SetArenaAllocator`
  * :c:func:`PySys_ResetWarnOptions`

* Informative functions:

  * :c:func:`Py_IsInitialized`
  * :c:func:`PyMem_GetAllocator`
  * :c:func:`PyObject_GetArenaAllocator`
  * :c:func:`Py_GetBuildInfo`
  * :c:func:`Py_GetCompiler`
  * :c:func:`Py_GetCopyright`
  * :c:func:`Py_GetPlatform`
  * :c:func:`Py_GetVersion`

* Utilities:

  * :c:func:`Py_DecodeLocale`

* Memory allocators:

  * :c:func:`PyMem_RawMalloc`
  * :c:func:`PyMem_RawRealloc`
  * :c:func:`PyMem_RawCalloc`
  * :c:func:`PyMem_RawFree`

.. note::

   The following functions **should not be called** before
   :c:func:`Py_Initialize`: :c:func:`Py_EncodeLocale`, :c:func:`Py_GetPath`,
   :c:func:`Py_GetPrefix`, :c:func:`Py_GetExecPrefix`,
   :c:func:`Py_GetProgramFullPath`, :c:func:`Py_GetPythonHome`,
   and :c:func:`Py_GetProgramName`.


.. _global-conf-vars:

Global configuration variables
==============================

Python has variables for the global configuration to control different features
and options. By default, these flags are controlled by :ref:`command line
options <using-on-interface-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 :c:data:`Py_BytesWarningFlag`
to 1 and ``-bb`` sets :c:data:`Py_BytesWarningFlag` to 2.

.. c:var:: int Py_BytesWarningFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.bytes_warning` should be used instead, see :ref:`Python
   Initialization Configuration <init-config>`.

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

   Set by the :option:`-b` option.

   .. deprecated-removed:: 3.12 3.14

.. c:var:: int Py_DebugFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.parser_debug` should be used instead, see :ref:`Python
   Initialization Configuration <init-config>`.

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

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

   .. deprecated-removed:: 3.12 3.14

.. c:var:: int Py_DontWriteBytecodeFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.write_bytecode` should be used instead, see :ref:`Python
   Initialization Configuration <init-config>`.

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

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

   .. deprecated-removed:: 3.12 3.14

.. c:var:: int Py_FrozenFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.pathconfig_warnings` should be used instead, see
   :ref:`Python Initialization Configuration <init-config>`.

   Suppress error messages when calculating the module search path in
   :c:func:`Py_GetPath`.

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

   .. deprecated-removed:: 3.12 3.14

.. c:var:: int Py_HashRandomizationFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.hash_seed` and :c:member:`PyConfig.use_hash_seed` should
   be used instead, see :ref:`Python Initialization Configuration
   <init-config>`.

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

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

   .. deprecated-removed:: 3.12 3.14

.. c:var:: int Py_IgnoreEnvironmentFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.use_environment` should be used instead, see
   :ref:`Python Initialization Configuration <init-config>`.

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

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

   .. deprecated-removed:: 3.12 3.14

.. c:var:: int Py_InspectFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.inspect` should be used instead, see
   :ref:`Python Initialization Configuration <init-config>`.

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

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

   .. deprecated-removed:: 3.12 3.14

.. c:var:: int Py_InteractiveFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.interactive` should be used instead, see
   :ref:`Python Initialization Configuration <init-config>`.

   Set by the :option:`-i` option.

   .. deprecated:: 3.12

.. c:var:: int Py_IsolatedFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.isolated` should be used instead, see
   :ref:`Python Initialization Configuration <init-config>`.

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

   Set by the :option:`-I` option.

   .. versionadded:: 3.4

   .. deprecated-removed:: 3.12 3.14

.. c:var:: int Py_LegacyWindowsFSEncodingFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyPreConfig.legacy_windows_fs_encoding` should be used instead, see
   :ref:`Python Initialization Configuration <init-config>`.

   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 :term:`filesystem encoding and error handler`.

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

   See :pep:`529` for more details.

   .. availability:: Windows.

   .. deprecated-removed:: 3.12 3.14

.. c:var:: int Py_LegacyWindowsStdioFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.legacy_windows_stdio` should be used instead, see
   :ref:`Python Initialization Configuration <init-config>`.

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

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

   See :pep:`528` for more details.

   .. availability:: Windows.

   .. deprecated-removed:: 3.12 3.14

.. c:var:: int Py_NoSiteFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.site_import` should be used instead, see
   :ref:`Python Initialization Configuration <init-config>`.

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

   Set by the :option:`-S` option.

   .. deprecated-removed:: 3.12 3.14

.. c:var:: int Py_NoUserSiteDirectory

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.user_site_directory` should be used instead, see
   :ref:`Python Initialization Configuration <init-config>`.

   Don't add the :data:`user site-packages directory <site.USER_SITE>` to
   :data:`sys.path`.

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

   .. deprecated-removed:: 3.12 3.14

.. c:var:: int Py_OptimizeFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.optimization_level` should be used instead, see
   :ref:`Python Initialization Configuration <init-config>`.

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

   .. deprecated-removed:: 3.12 3.14

.. c:var:: int Py_QuietFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.quiet` should be used instead, see :ref:`Python
   Initialization Configuration <init-config>`.

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

   Set by the :option:`-q` option.

   .. versionadded:: 3.2

   .. deprecated-removed:: 3.12 3.14

.. c:var:: int Py_UnbufferedStdioFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.buffered_stdio` should be used instead, see :ref:`Python
   Initialization Configuration <init-config>`.

   Force the stdout and stderr streams to be unbuffered.

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

   .. deprecated-removed:: 3.12 3.14

.. c:var:: int Py_VerboseFlag

   This API is kept for backward compatibility: setting
   :c:member:`PyConfig.verbose` should be used instead, see :ref:`Python
   Initialization Configuration <init-config>`.

   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 :option:`-v` option and the :envvar:`PYTHONVERBOSE` environment
   variable.

   .. deprecated-removed:: 3.12 3.14


Initializing and finalizing the interpreter
===========================================


.. c:function:: void Py_Initialize()

   .. index::
      single: modules (in module sys)
      single: path (in module sys)
      pair: module; builtins
      pair: module; __main__
      pair: module; sys
      triple: module; search; path
      single: Py_FinalizeEx()

   Initialize the Python interpreter.  In an application embedding  Python,
   this should be called before using any other Python/C API functions; see
   :ref:`Before Python Initialization <pre-init-safe>` for the few exceptions.

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

   Use the :c:func:`Py_InitializeFromConfig` function to customize the
   :ref:`Python Initialization Configuration <init-config>`.

   .. note::
      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.


.. c:function:: void Py_InitializeEx(int initsigs)

   This function works like :c:func:`Py_Initialize` if *initsigs* is ``1``. If
   *initsigs* is ``0``, it skips initialization registration of signal handlers, which
   might be useful when Python is embedded.

   Use the :c:func:`Py_InitializeFromConfig` function to customize the
   :ref:`Python Initialization Configuration <init-config>`.


.. c:function:: int Py_IsInitialized()

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


.. c:function:: int Py_IsFinalizing()

   Return true (non-zero) if the main Python interpreter is
   :term:`shutting down <interpreter shutdown>`. Return false (zero) otherwise.

   .. versionadded:: 3.13


.. c:function:: int Py_FinalizeEx()

   Undo all initializations made by :c:func:`Py_Initialize` and subsequent use of
   Python/C API functions, and destroy all sub-interpreters (see
   :c:func:`Py_NewInterpreter` below) that were created and not yet destroyed since
   the last call to :c:func:`Py_Initialize`.  Ideally, this frees all memory
   allocated by the Python interpreter.  This is a no-op when called for a second
   time (without calling :c:func:`Py_Initialize` again first).  Normally the
   return value is ``0``.  If there were errors during finalization
   (flushing buffered data), ``-1`` is returned.

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

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

   .. audit-event:: cpython._PySys_ClearAuditHooks "" c.Py_FinalizeEx

   .. versionadded:: 3.6

.. c:function:: void Py_Finalize()

   This is a backwards-compatible version of :c:func:`Py_FinalizeEx` that
   disregards the return value.


Process-wide parameters
=======================


.. c:function:: wchar_t* Py_GetProgramName()

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

   This function should not be called before :c:func:`Py_Initialize`, otherwise
   it returns ``NULL``.

   .. versionchanged:: 3.10
      It now returns ``NULL`` if called before :c:func:`Py_Initialize`.

   .. deprecated-removed:: 3.13 3.15
      Get :data:`sys.executable` instead.


.. c:function:: wchar_t* Py_GetPrefix()

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

   This function should not be called before :c:func:`Py_Initialize`, otherwise
   it returns ``NULL``.

   .. versionchanged:: 3.10
      It now returns ``NULL`` if called before :c:func:`Py_Initialize`.

   .. deprecated-removed:: 3.13 3.15
      Get :data:`sys.prefix` instead.


.. c:function:: wchar_t* Py_GetExecPrefix()

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

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

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

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

   This function should not be called before :c:func:`Py_Initialize`, otherwise
   it returns ``NULL``.

   .. versionchanged:: 3.10
      It now returns ``NULL`` if called before :c:func:`Py_Initialize`.

   .. deprecated-removed:: 3.13 3.15
      Get :data:`sys.exec_prefix` instead.


.. c:function:: wchar_t* Py_GetProgramFullPath()

   .. index::
      single: executable (in module sys)

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

   This function should not be called before :c:func:`Py_Initialize`, otherwise
   it returns ``NULL``.

   .. versionchanged:: 3.10
      It now returns ``NULL`` if called before :c:func:`Py_Initialize`.

   .. deprecated-removed:: 3.13 3.15
      Get :data:`sys.executable` instead.


.. c:function:: wchar_t* Py_GetPath()

   .. index::
      triple: module; search; path
      single: path (in module sys)

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

   This function should not be called before :c:func:`Py_Initialize`, otherwise
   it returns ``NULL``.

   .. XXX should give the exact rules

   .. versionchanged:: 3.10
      It now returns ``NULL`` if called before :c:func:`Py_Initialize`.

   .. deprecated-removed:: 3.13 3.15
      Get :data:`sys.path` instead.


.. c:function:: const char* Py_GetVersion()

   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]"

   .. index:: single: version (in module sys)

   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 :data:`sys.version`.

   See also the :c:var:`Py_Version` constant.


.. c:function:: const char* Py_GetPlatform()

   .. index:: single: platform (in module sys)

   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``.


.. c:function:: const char* Py_GetCopyright()

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

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

   .. index:: single: copyright (in module sys)

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


.. c:function:: const char* Py_GetCompiler()

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

      "[GCC 2.7.2.2]"

   .. index:: single: version (in module sys)

   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``.


.. c:function:: const char* Py_GetBuildInfo()

   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"

   .. index:: single: version (in module sys)

   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``.


.. c:function:: wchar_t* Py_GetPythonHome()

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

   This function should not be called before :c:func:`Py_Initialize`, otherwise
   it returns ``NULL``.

   .. versionchanged:: 3.10
      It now returns ``NULL`` if called before :c:func:`Py_Initialize`.

   .. deprecated-removed:: 3.13 3.15
      Get :c:member:`PyConfig.home` or :envvar:`PYTHONHOME` environment
      variable instead.


.. _threads:

Thread State and the Global Interpreter Lock
============================================

.. index::
   single: global interpreter lock
   single: interpreter lock
   single: lock, interpreter

The Python interpreter is not fully thread-safe.  In order to support
multi-threaded Python programs, there's a global lock, called the :term:`global
interpreter lock` or :term:`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.

.. index:: single: setswitchinterval() (in module sys)

Therefore, the rule exists that only the thread that has acquired the
:term:`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 :func:`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.

.. index::
   single: PyThreadState
   single: PyThreadState

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

Releasing the GIL from extension code
-------------------------------------

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

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

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

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

.. index::
   single: Py_BEGIN_ALLOW_THREADS
   single: Py_END_ALLOW_THREADS

The :c:macro:`Py_BEGIN_ALLOW_THREADS` macro opens a new block and declares a
hidden local variable; the :c:macro:`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);

.. index::
   single: PyEval_RestoreThread()
   single: PyEval_SaveThread()

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

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


.. _gilstate:

Non-Python created threads
--------------------------

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

If you need to call Python code from these threads (often this will be part
of a callback API provided by the aforementioned third-party library),
you must first register these threads with the interpreter by
creating a thread state data structure, then acquiring the GIL, and finally
storing their thread state pointer, before you can start using the Python/C
API.  When you are done, you should reset the thread state pointer, release
the GIL, and finally free the thread state data structure.

The :c:func:`PyGILState_Ensure` and :c:func:`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 :c:func:`Py_Initialize`).  Python
supports the creation of additional interpreters (using
:c:func:`Py_NewInterpreter`), but mixing multiple interpreters and the
``PyGILState_*`` API is unsupported.


.. _fork-and-threads:

Cautions about fork()
---------------------

Another important thing to note about threads is their behaviour in the face
of the C :c:func:`fork` call. On most systems with :c:func:`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 :func:`os.fork` by acquiring the locks it uses internally before
the fork, and releasing them afterwards. In addition, it resets any
:ref:`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
:c:func:`!pthread_atfork` would need to be used to accomplish the same thing.
Additionally, when extending or embedding Python, calling :c:func:`fork`
directly rather than through :func:`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.
:c:func:`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 :func:`os.fork`
does.  This means finalizing all other :c:type:`PyThreadState` objects
belonging to the current interpreter and all other
:c:type:`PyInterpreterState` objects.  Due to this and the special
nature of the :ref:`"main" interpreter <sub-interpreter-support>`,
:c:func:`fork` should only be called in that interpreter's "main"
thread, where the CPython global runtime was originally initialized.
The only exception is if :c:func:`exec` will be called immediately
after.


High-level API
--------------

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

.. c:type:: PyInterpreterState

   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.


.. c:type:: PyThreadState

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

   .. c:member:: PyInterpreterState *interp

      This thread's interpreter state.


.. c:function:: PyThreadState* PyEval_SaveThread()

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


.. c:function:: void PyEval_RestoreThread(PyThreadState *tstate)

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

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

.. c:function:: PyThreadState* PyThreadState_Get()

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

   See also :c:func:`PyThreadState_GetUnchecked`.


.. c:function:: PyThreadState* PyThreadState_GetUnchecked()

   Similar to :c:func:`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.

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


.. c:function:: PyThreadState* PyThreadState_Swap(PyThreadState *tstate)

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


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

.. c:function:: PyGILState_STATE PyGILState_Ensure()

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

   The return value is an opaque "handle" to the thread state when
   :c:func:`PyGILState_Ensure` was called, and must be passed to
   :c:func:`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 :c:func:`PyGILState_Ensure` must save the handle for its call
   to :c:func:`PyGILState_Release`.

   When the function returns, the current thread will hold the GIL and be able
   to call arbitrary Python code.  Failure is a fatal error.

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

.. c:function:: void PyGILState_Release(PyGILState_STATE)

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

   Every call to :c:func:`PyGILState_Ensure` must be matched by a call to
   :c:func:`PyGILState_Release` on the same thread.


.. c:function:: PyThreadState* PyGILState_GetThisThreadState()

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


.. c:function:: int PyGILState_Check()

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

   .. versionadded:: 3.4


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


.. c:macro:: Py_BEGIN_ALLOW_THREADS

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


.. c:macro:: Py_END_ALLOW_THREADS

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


.. c:macro:: Py_BLOCK_THREADS

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


.. c:macro:: Py_UNBLOCK_THREADS

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


Low-level API
-------------

All of the following functions must be called after :c:func:`Py_Initialize`.

.. versionchanged:: 3.7
   :c:func:`Py_Initialize()` now initializes the :term:`GIL`.


.. c:function:: PyInterpreterState* PyInterpreterState_New()

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

   .. audit-event:: cpython.PyInterpreterState_New "" c.PyInterpreterState_New


.. c:function:: void PyInterpreterState_Clear(PyInterpreterState *interp)

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

   .. audit-event:: cpython.PyInterpreterState_Clear "" c.PyInterpreterState_Clear


.. c:function:: void PyInterpreterState_Delete(PyInterpreterState *interp)

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


.. c:function:: PyThreadState* PyThreadState_New(PyInterpreterState *interp)

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


.. c:function:: void PyThreadState_Clear(PyThreadState *tstate)

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

   .. versionchanged:: 3.9
      This function now calls the :c:member:`PyThreadState.on_delete` callback.
      Previously, that happened in :c:func:`PyThreadState_Delete`.


.. c:function:: void PyThreadState_Delete(PyThreadState *tstate)

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


.. c:function:: void PyThreadState_DeleteCurrent(void)

   Destroy the current thread state and release the global interpreter lock.
   Like :c:func:`PyThreadState_Delete`, the global interpreter lock need not
   be held. The thread state must have been reset with a previous call
   to :c:func:`PyThreadState_Clear`.


.. c:function:: PyFrameObject* PyThreadState_GetFrame(PyThreadState *tstate)

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

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

   See also :c:func:`PyEval_GetFrame`.

   *tstate* must not be ``NULL``.

   .. versionadded:: 3.9


.. c:function:: uint64_t PyThreadState_GetID(PyThreadState *tstate)

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

   *tstate* must not be ``NULL``.

   .. versionadded:: 3.9


.. c:function:: PyInterpreterState* PyThreadState_GetInterpreter(PyThreadState *tstate)

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

   *tstate* must not be ``NULL``.

   .. versionadded:: 3.9


.. c:function:: void PyThreadState_EnterTracing(PyThreadState *tstate)

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

   Resume them using the :c:func:`PyThreadState_LeaveTracing` function.

   .. versionadded:: 3.11


.. c:function:: void PyThreadState_LeaveTracing(PyThreadState *tstate)

   Resume tracing and profiling in the Python thread state *tstate* suspended
   by the :c:func:`PyThreadState_EnterTracing` function.

   See also :c:func:`PyEval_SetTrace` and :c:func:`PyEval_SetProfile`
   functions.

   .. versionadded:: 3.11


.. c:function:: PyInterpreterState* PyInterpreterState_Get(void)

   Get the current interpreter.

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

   The caller must hold the GIL.

   .. versionadded:: 3.9


.. c:function:: int64_t PyInterpreterState_GetID(PyInterpreterState *interp)

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

   The caller must hold the GIL.

   .. versionadded:: 3.7


.. c:function:: PyObject* PyInterpreterState_GetDict(PyInterpreterState *interp)

   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 :c:func:`PyModule_GetState()`, which
   extensions should use to store interpreter-specific state information.

   .. versionadded:: 3.8

.. c:type:: 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.

   .. versionchanged:: 3.9
      The function now takes a *tstate* parameter.

   .. versionchanged:: 3.11
      The *frame* parameter changed from ``PyFrameObject*`` to ``_PyInterpreterFrame*``.

.. c:function:: _PyFrameEvalFunction _PyInterpreterState_GetEvalFrameFunc(PyInterpreterState *interp)

   Get the frame evaluation function.

   See the :pep:`523` "Adding a frame evaluation API to CPython".

   .. versionadded:: 3.9

.. c:function:: void _PyInterpreterState_SetEvalFrameFunc(PyInterpreterState *interp, _PyFrameEvalFunction eval_frame)

   Set the frame evaluation function.

   See the :pep:`523` "Adding a frame evaluation API to CPython".

   .. versionadded:: 3.9


.. c:function:: PyObject* PyThreadState_GetDict()

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


.. c:function:: int PyThreadState_SetAsyncExc(unsigned long id, PyObject *exc)

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

   .. versionchanged:: 3.7
      The type of the *id* parameter changed from :c:expr:`long` to
      :c:expr:`unsigned long`.

.. c:function:: void PyEval_AcquireThread(PyThreadState *tstate)

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

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

   .. versionchanged:: 3.8
      Updated to be consistent with :c:func:`PyEval_RestoreThread`,
      :c:func:`Py_END_ALLOW_THREADS`, and :c:func:`PyGILState_Ensure`,
      and terminate the current thread if called while the interpreter is finalizing.

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


.. c:function:: void PyEval_ReleaseThread(PyThreadState *tstate)

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

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


.. _sub-interpreter-support:

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
:c:func:`PyInterpreterState_Main` function returns a pointer to its state.

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


.. c:type:: PyInterpreterConfig

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

   .. versionadded:: 3.12

   Structure fields:

   .. c:member:: 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
      :c:member:`~PyInterpreterConfig.check_multi_interp_extensions`
      must be ``1`` (non-zero).
      If this is ``1`` then :c:member:`~PyInterpreterConfig.gil`
      must not be :c:macro:`PyInterpreterConfig_OWN_GIL`.

   .. c:member:: 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 :mod:`subprocess` module still works
      when fork is disallowed.

   .. c:member:: int allow_exec

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

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

   .. c:member:: int allow_threads

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

   .. c:member:: int allow_daemon_threads

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

   .. c:member:: 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 :c:macro:`Py_mod_multiple_interpreters`.)

      This must be ``1`` (non-zero) if
      :c:member:`~PyInterpreterConfig.use_main_obmalloc` is ``0``.

   .. c:member:: int gil

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

      .. c:namespace:: NULL

      .. c:macro:: PyInterpreterConfig_DEFAULT_GIL

         Use the default selection (:c:macro:`PyInterpreterConfig_SHARED_GIL`).

      .. c:macro:: PyInterpreterConfig_SHARED_GIL

         Use (share) the main interpreter's GIL.

      .. c:macro:: PyInterpreterConfig_OWN_GIL

         Use the sub-interpreter's own GIL.

      If this is :c:macro:`PyInterpreterConfig_OWN_GIL` then
      :c:member:`PyInterpreterConfig.use_main_obmalloc` must be ``0``.


.. c:function:: PyStatus Py_NewInterpreterFromConfig(PyThreadState **tstate_p, const PyInterpreterConfig *config)

   .. index::
      pair: module; builtins
      pair: module; __main__
      pair: module; sys
      single: stdout (in module sys)
      single: stderr (in module sys)
      single: stdin (in module sys)

   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 :mod:`builtins`, :mod:`__main__` and :mod:`sys`.  The
   table of loaded modules (``sys.modules``) and the module search path
   (``sys.path``) are also separate.  The new environment has no ``sys.argv``
   variable.  It has new standard I/O stream file objects ``sys.stdin``,
   ``sys.stdout`` and ``sys.stderr`` (however these refer to the same underlying
   file descriptors).

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

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

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

   .. versionadded:: 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 = Py_NewInterpreterFromConfig(&config);

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

   .. index::
      single: Py_FinalizeEx()
      single: Py_Initialize()

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

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

   *  For modules using single-phase initialization,
      e.g. :c:func:`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 :c:func:`Py_FinalizeEx` and :c:func:`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.

   .. index:: single: close() (in module os)


.. c:function:: PyThreadState* Py_NewInterpreter(void)

   .. index::
      pair: module; builtins
      pair: module; __main__
      pair: module; sys
      single: stdout (in module sys)
      single: stderr (in module sys)
      single: stdin (in module sys)

   Create a new sub-interpreter.  This is essentially just a wrapper
   around :c:func:`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.


.. c:function:: void Py_EndInterpreter(PyThreadState *tstate)

   .. index:: single: Py_FinalizeEx()

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

   :c:func:`Py_FinalizeEx` will destroy all sub-interpreters that
   haven't been explicitly destroyed at that point.


A Per-Interpreter GIL
---------------------

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

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

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

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

.. versionadded:: 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  :func:`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 :c:func:`PyGILState_Ensure` and :c:func:`PyGILState_Release` calls.
Furthermore, extensions (such as :mod:`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.


.. c:function:: int Py_AddPendingCall(int (*func)(void *), void *arg)

   .. index:: single: Py_AddPendingCall()

   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 :term:`bytecode` boundary;
   * with the main thread holding the :term:`global interpreter lock`
     (*func* can therefore use the full C API).

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

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

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

   .. warning::
      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 :ref:`PyGILState API<gilstate>`.

   .. versionchanged:: 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.

   .. versionadded:: 3.1

.. _profiling:

Profiling and Tracing
=====================

.. sectionauthor:: Fred L. Drake, Jr. <fdrake@acm.org>


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.


.. c:type:: int (*Py_tracefunc)(PyObject *obj, PyFrameObject *frame, int what, PyObject *arg)

   The type of the trace function registered using :c:func:`PyEval_SetProfile` and
   :c:func:`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 :c:data:`PyTrace_CALL`,
   :c:data:`PyTrace_EXCEPTION`, :c:data:`PyTrace_LINE`, :c:data:`PyTrace_RETURN`,
   :c:data:`PyTrace_C_CALL`, :c:data:`PyTrace_C_EXCEPTION`, :c:data:`PyTrace_C_RETURN`,
   or :c:data:`PyTrace_OPCODE`, and *arg* depends on the value of *what*:

   +-------------------------------+----------------------------------------+
   | Value of *what*               | Meaning of *arg*                       |
   +===============================+========================================+
   | :c:data:`PyTrace_CALL`        | Always :c:data:`Py_None`.              |
   +-------------------------------+----------------------------------------+
   | :c:data:`PyTrace_EXCEPTION`   | Exception information as returned by   |
   |                               | :func:`sys.exc_info`.                  |
   +-------------------------------+----------------------------------------+
   | :c:data:`PyTrace_LINE`        | Always :c:data:`Py_None`.              |
   +-------------------------------+----------------------------------------+
   | :c:data:`PyTrace_RETURN`      | Value being returned to the caller,    |
   |                               | or ``NULL`` if caused by an exception. |
   +-------------------------------+----------------------------------------+
   | :c:data:`PyTrace_C_CALL`      | Function object being called.          |
   +-------------------------------+----------------------------------------+
   | :c:data:`PyTrace_C_EXCEPTION` | Function object being called.          |
   +-------------------------------+----------------------------------------+
   | :c:data:`PyTrace_C_RETURN`    | Function object being called.          |
   +-------------------------------+----------------------------------------+
   | :c:data:`PyTrace_OPCODE`      | Always :c:data:`Py_None`.              |
   +-------------------------------+----------------------------------------+

.. c:var:: int PyTrace_CALL

   The value of the *what* parameter to a :c:type:`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.


.. c:var:: int PyTrace_EXCEPTION

   The value of the *what* parameter to a :c:type:`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.


.. c:var:: int PyTrace_LINE

   The value passed as the *what* parameter to a :c:type:`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 :attr:`f_trace_lines` to *0* on that frame.


.. c:var:: int PyTrace_RETURN

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


.. c:var:: int PyTrace_C_CALL

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


.. c:var:: int PyTrace_C_EXCEPTION

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


.. c:var:: int PyTrace_C_RETURN

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


.. c:var:: int PyTrace_OPCODE

   The value for the *what* parameter to :c:type:`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
   :attr:`f_trace_opcodes` to *1* on the frame.


.. c:function:: 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 :c:data:`PyTrace_LINE`
   :c:data:`PyTrace_OPCODE` and :c:data:`PyTrace_EXCEPTION`.

   See also the :func:`sys.setprofile` function.

   The caller must hold the :term:`GIL`.

.. c:function:: void PyEval_SetProfileAllThreads(Py_tracefunc func, PyObject *obj)

   Like :c:func:`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 hold the :term:`GIL`.

   As :c:func:`PyEval_SetProfile`, this function ignores any exceptions raised while
   setting the profile functions in all threads.

.. versionadded:: 3.12


.. c:function:: void PyEval_SetTrace(Py_tracefunc func, PyObject *obj)

   Set the tracing function to *func*.  This is similar to
   :c:func:`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 :c:func:`PyEval_SetTrace`
   will not receive :c:data:`PyTrace_C_CALL`, :c:data:`PyTrace_C_EXCEPTION` or
   :c:data:`PyTrace_C_RETURN` as a value for the *what* parameter.

   See also the :func:`sys.settrace` function.

   The caller must hold the :term:`GIL`.

.. c:function:: void PyEval_SetTraceAllThreads(Py_tracefunc func, PyObject *obj)

   Like :c:func:`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 hold the :term:`GIL`.

   As :c:func:`PyEval_SetTrace`, this function ignores any exceptions raised while
   setting the trace functions in all threads.

.. versionadded:: 3.12


.. _advanced-debugging:

Advanced Debugger Support
=========================

.. sectionauthor:: Fred L. Drake, Jr. <fdrake@acm.org>


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


.. c:function:: PyInterpreterState* PyInterpreterState_Head()

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


.. c:function:: PyInterpreterState* PyInterpreterState_Main()

   Return the main interpreter state object.


.. c:function:: PyInterpreterState* PyInterpreterState_Next(PyInterpreterState *interp)

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


.. c:function:: PyThreadState * PyInterpreterState_ThreadHead(PyInterpreterState *interp)

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


.. c:function:: PyThreadState* PyThreadState_Next(PyThreadState *tstate)

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


.. _thread-local-storage:

Thread Local Storage Support
============================

.. sectionauthor:: Masayuki Yamamoto <ma3yuki.8mamo10@gmail.com>

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 (:class:`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 :c:expr:`void*` value per
thread.

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

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

.. note::
   None of these API functions handle memory management on behalf of the
   :c:expr:`void*` values.  You need to allocate and deallocate them yourself.
   If the :c:expr:`void*` values happen to be :c:expr:`PyObject*`, these
   functions don't do refcount operations on them either.

.. _thread-specific-storage-api:

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 :c:type:`Py_tss_t` instead of
:c:expr:`int` to represent thread keys.

.. versionadded:: 3.7

.. seealso:: "A New C-API for Thread-Local Storage in CPython" (:pep:`539`)


.. c: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 :ref:`Py_LIMITED_API <stable>` is not defined, static allocation of
   this type by :c:macro:`Py_tss_NEEDS_INIT` is allowed.


.. c:macro:: Py_tss_NEEDS_INIT

   This macro expands to the initializer for :c:type:`Py_tss_t` variables.
   Note that this macro won't be defined with :ref:`Py_LIMITED_API <stable>`.


Dynamic Allocation
~~~~~~~~~~~~~~~~~~

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


.. c:function:: Py_tss_t* PyThread_tss_alloc()

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


.. c:function:: void PyThread_tss_free(Py_tss_t *key)

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

   .. note::
      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 :c:func:`PyThread_tss_set` and :c:func:`PyThread_tss_get` are
undefined if the given :c:type:`Py_tss_t` has not been initialized by
:c:func:`PyThread_tss_create`.


.. c:function:: int PyThread_tss_is_created(Py_tss_t *key)

   Return a non-zero value if the given :c:type:`Py_tss_t` has been initialized
   by :c:func:`PyThread_tss_create`.


.. c:function:: int PyThread_tss_create(Py_tss_t *key)

   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 :c:macro:`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.


.. c:function:: void PyThread_tss_delete(Py_tss_t *key)

   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
   :c:func:`PyThread_tss_create`. This function can be called repeatedly on
   the same key -- calling it on an already destroyed key is a no-op.


.. c:function:: int PyThread_tss_set(Py_tss_t *key, void *value)

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


.. c:function:: void* PyThread_tss_get(Py_tss_t *key)

   Return the :c:expr:`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-api:

Thread Local Storage (TLS) API
------------------------------

.. deprecated:: 3.7
   This API is superseded by
   :ref:`Thread Specific Storage (TSS) API <thread-specific-storage-api>`.

.. note::
   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,
   :c:func:`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.

.. c:function:: int PyThread_create_key()
.. c:function:: void PyThread_delete_key(int key)
.. c:function:: int PyThread_set_key_value(int key, void *value)
.. c:function:: void* PyThread_get_key_value(int key)
.. c:function:: void PyThread_delete_key_value(int key)
.. c:function:: void PyThread_ReInitTLS()