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Interpreter initialization and finalization¶
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.
The following functions can be safely called before Python is initialized:
Note
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(), and Py_RunMain().
Initializing and finalizing the interpreter¶
-
void Py_Initialize()¶
- Part of the Stable 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.
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.
-
void Py_InitializeEx(int initsigs)¶
- Part of the Stable 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.
Changed in version 3.16: The function no longer returns an exit code if a command line option
wants to exit Python. Instead, the option is processed in
Py_RunMain().
-
int Py_IsInitialized()¶
- Part of the Stable 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.
Changed in version 3.15: This function no longer returns true until initialization has fully
completed, including import of the site module. Previously it
could return true while Py_Initialize() was still running.
-
int Py_IsFinalizing()¶
- Part of the Stable ABI since version 3.13.
Return true (non-zero) if the main Python interpreter is
shutting down. Return false (zero) otherwise.
-
int Py_FinalizeEx()¶
- Part of the Stable ABI since 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 previously 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.
-
void Py_Finalize()¶
- Part of the Stable ABI.
This is a backwards-compatible version of Py_FinalizeEx() that
disregards the return value.
-
int Py_BytesMain(int argc, char **argv)¶
- Part of the Stable ABI since 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.
-
int Py_Main(int argc, wchar_t **argv)¶
- Part of the Stable 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_FrozenMain(int argc, char **argv)¶
The main program for a “frozen” Python program (an executable that embeds
the interpreter together with the bytecode of the program’s modules, as
produced by the freeze utility; see Tools/freeze).
This function initializes the interpreter, imports the frozen module named
__main__, and finalizes the interpreter.
The frozen modules must have been registered in
PyImport_FrozenModules before calling this function;
it is a fatal error if __main__ is not among them.
argc and argv are byte strings like the arguments of a C program’s
main function, and are passed to the interpreter with
PyConfig_SetBytesArgv().
Unlike Py_Main(), the arguments are not parsed as Python command
line options (PyConfig.parse_argv is 0), so all of them
are made available to the program in sys.argv.
Apart from that, the interpreter uses the
Python Configuration, so environment variables
such as PYTHONPATH are honored.
Warnings about the path configuration
(PyConfig.pathconfig_warnings) are suppressed.
If PYTHONINSPECT is set and standard input is a terminal, an
interactive prompt is run after __main__ has finished, as with the
-i option.
Return 0 if __main__ ran without an unhandled exception, 1
otherwise, and 120 if finalizing the interpreter failed (see
Py_FinalizeEx()).
An unhandled SystemExit terminates the process.
If the interpreter cannot be initialized, the process exits via
Py_ExitStatusException().
On Windows, this function is not exported by the Python DLL.
The freeze utility compiles Python/frozenmain.c into the
frozen program instead, together with the Windows-specific hooks that the
function requires.
-
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)¶
This is Unstable API. It may change without warning in minor releases.
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.
Cautions regarding interpreter 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, meaning that Py_IsFinalizing() and
sys.is_finalizing() return true. At this point, only the finalization
thread (the thread that initiated finalization; this is typically the main thread)
is allowed to attach a thread state.
Other threads that attempt to attach during finalization, either explicitly
(such as via PyThreadState_Ensure() or Py_END_ALLOW_THREADS)
or implicitly (such as in-between bytecode instructions), will enter a
permanently blocked state. Generally, this is harmless, but this can
result in deadlocks. For example, a thread may be permanently blocked while
holding a lock, meaning that the finalization thread can never acquire that
lock.
Prior to CPython 3.13, the thread would exit instead of hanging,
which led to other issues (see the warning note at
PyThread_exit_thread()).
Gross? Yes. Starting in Python 3.15, there are a number of C APIs that make
it possible to avoid these issues by temporarily preventing finalization:
See also
PEP 788 explains the design, motivation and rationale
for these APIs.
-
type PyInterpreterGuard¶
- Part of the Stable ABI (as an opaque struct) since version 3.15.
An opaque interpreter guard structure.
By holding an interpreter guard, the caller can ensure that the interpreter
will not finalize until the guard is closed (through
PyInterpreterGuard_Close()).
When a guard is held, a thread attempting to finalize the interpreter will
block until the guard is closed before starting finalization.
After finalization has started, threads are forever unable to acquire
guards for that interpreter. This means that if you forget to close an
interpreter guard, the process will permanently hang during
finalization!
Holding a guard for an interpreter is similar to holding a
strong reference to a Python object, except finalization does not happen
automatically after all guards are released: it requires an explicit
Py_EndInterpreter() call.
-
PyInterpreterGuard *PyInterpreterGuard_FromCurrent(void)¶
- Part of the Stable ABI since version 3.15.
Create a finalization guard for the current interpreter. This will prevent
finalization until the guard is closed.
For example:
// Temporarily prevent finalization.
PyInterpreterGuard *guard = PyInterpreterGuard_FromCurrent();
if (guard == NULL) {
// Finalization has already started or we're out of memory.
return NULL;
}
Py_BEGIN_ALLOW_THREADS;
// Do some critical processing here. For example, we can safely acquire
// locks that might be acquired by the finalization thread.
Py_END_ALLOW_THREADS;
// Now that we're done with our critical processing, the interpreter is
// allowed to finalize again.
PyInterpreterGuard_Close(guard);
On success, this function returns a guard for the current interpreter;
on failure, it returns NULL with an exception set.
This function will fail only if the current interpreter has already started
finalizing, or if the process is out of memory.
The guard pointer returned by this function must be eventually closed
with PyInterpreterGuard_Close(); failing to do so will result in
the Python process infinitely hanging.
The caller must hold an attached thread state.
-
PyInterpreterGuard *PyInterpreterGuard_FromView(PyInterpreterView *view)¶
- Part of the Stable ABI since version 3.15.
Create a finalization guard for an interpreter through a view.
On success, this function returns a guard to the interpreter
represented by view. The view is still valid after calling this
function. The guard must eventually be closed with
PyInterpreterGuard_Close().
If the interpreter no longer exists, is already finalizing, or out of memory,
then this function returns NULL without setting an exception.
The caller does not need to hold an attached thread state.
-
void PyInterpreterGuard_Close(PyInterpreterGuard *guard)¶
- Part of the Stable ABI since version 3.15.
Close an interpreter guard, allowing the interpreter to start
finalization if no other guards remain. If an interpreter guard
is never closed, the interpreter will infinitely wait when trying
to enter finalization!
After an interpreter guard is closed, it may not be used in
PyThreadState_Ensure(). Doing so will result in undefined
behavior.
This function cannot fail, and the caller doesn’t need to hold an
attached thread state.
Interpreter views¶
In some cases, it may be necessary to access an interpreter that may have been
deleted. This can be done using interpreter views.
-
type PyInterpreterView¶
- Part of the Stable ABI (as an opaque struct) since version 3.15.
An opaque view of an interpreter.
This is a thread-safe way to access an interpreter that may be
finalizing or already destroyed.
-
PyInterpreterView *PyInterpreterView_FromCurrent(void)¶
- Part of the Stable ABI since version 3.15.
Create a view to the current interpreter.
This function is generally meant to be used alongside
PyInterpreterGuard_FromView() or PyThreadState_EnsureFromView().
On success, this function returns a view to the current interpreter; on
failure, it returns NULL with an exception set.
The caller must hold an attached thread state.
-
void PyInterpreterView_Close(PyInterpreterView *view)¶
- Part of the Stable ABI since version 3.15.
Close an interpreter view.
If an interpreter view is never closed, the view’s memory will never be
freed, but there are no other consequences. (In contrast, forgetting to
close a guard will infinitely hang the main thread during finalization.)
This function cannot fail, and the caller doesn’t need to hold an
attached thread state.
-
PyInterpreterView *PyInterpreterView_FromMain(void)¶
- Part of the Stable ABI since version 3.15.
Create a view for the main interpreter (the first and default
interpreter in a Python process; see
PyInterpreterState_Main()).
On success, this function returns a view to the main
interpreter; on failure, it returns NULL without an exception set.
Failure indicates that the process is out of memory.
Use this function when an interpreter pointer or view cannot be supplied
by the caller, such as when a native threading library does not provide a
void *arg parameter that could carry a PyInterpreterGuard or
PyInterpreterView. In code that supports subinterpreters, prefer
PyInterpreterView_FromCurrent() so the guard tracks the calling
interpreter rather than the main one.
The caller does not need to hold an attached thread state.
Process-wide parameters¶
-
const char *Py_GetVersion()¶
- Part of the Stable 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()¶
- Part of the Stable 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 'win32'. 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()¶
- Part of the Stable 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()¶
- Part of the Stable ABI.
Return an indication of the compiler used to build the current Python version,
in square brackets, for example:
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()¶
- Part of the Stable 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.
© Copyright 2001 Python Software Foundation.
This page is licensed under the Python Software Foundation License Version 2.
Examples, recipes, and other code in the documentation are additionally licensed under the Zero Clause BSD License.
See History and License for more information.
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Last updated on Nov 12, 2026 (14:14 UTC).
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