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Module Objects {#moduleobjects}
::: index pair: object; module :::
::: index single: ModuleType (in module types) :::
This instance of
PyTypeObject{.interpreted-text role="c:type"} represents the Python module type. This is exposed to Python programs astypes.ModuleType{.interpreted-text role="py:class"}.
Return true if p is a module object, or a subtype of a module object. This function always succeeds.
Return true if p is a module object, but not a subtype of
PyModule_Type{.interpreted-text role="c:data"}. This function always succeeds.
::: index single: __name__ (module attribute) single: __doc__ (module attribute) single: __file__ (module attribute) single: __package__ (module attribute) single: __loader__ (module attribute) :::
Return a new module object with
module.__name__{.interpreted-text role="attr"} set to name. The module's!__name__{.interpreted-text role="attr"},~module.__doc__{.interpreted-text role="attr"},~module.__package__{.interpreted-text role="attr"} and~module.__loader__{.interpreted-text role="attr"} attributes are filled in (all but!__name__{.interpreted-text role="attr"} are set toNone). The caller is responsible for setting a~module.__file__{.interpreted-text role="attr"} attribute.Return
NULLwith an exception set on error.::: versionadded 3.3 :::
::: versionchanged 3.4
~module.__package__{.interpreted-text role="attr"} and~module.__loader__{.interpreted-text role="attr"} are now set toNone. :::
Similar to
PyModule_NewObject{.interpreted-text role="c:func"}, but the name is a UTF-8 encoded string instead of a Unicode object.
::: index single: __dict__ (module attribute) :::
Return the dictionary object that implements module's namespace; this object is the same as the
~object.__dict__{.interpreted-text role="attr"} attribute of the module object. If module is not a module object (or a subtype of a module object),SystemError{.interpreted-text role="exc"} is raised andNULLis returned.It is recommended extensions use other
PyModule_*andPyObject_*functions rather than directly manipulate a module's~object.__dict__{.interpreted-text role="attr"}.The returned reference is borrowed from the module; it is valid until the module is destroyed.
::: index single: __name__ (module attribute) single: SystemError (built-in exception) :::
Return module's
~module.__name__{.interpreted-text role="attr"} value. If the module does not provide one, or if it is not a string,SystemError{.interpreted-text role="exc"} is raised andNULLis returned.::: versionadded 3.3 :::
Similar to
PyModule_GetNameObject{.interpreted-text role="c:func"} but return the name encoded to'utf-8'.The returned buffer is only valid until the module is renamed or destroyed. Note that Python code may rename a module by setting its
~module.__name__{.interpreted-text role="py:attr"} attribute.
Return a pointer to the
PyModuleDef{.interpreted-text role="c:type"} struct from which the module was created, orNULLif the module wasn't created from a definition.On error, return
NULLwith an exception set. UsePyErr_Occurred{.interpreted-text role="c:func"} to tell this case apart from a missing!PyModuleDef{.interpreted-text role="c:type"}.
::: index single: __file__ (module attribute) single: SystemError (built-in exception) :::
Return the name of the file from which module was loaded using module's
~module.__file__{.interpreted-text role="attr"} attribute. If this is not defined, or if it is not a string, raiseSystemError{.interpreted-text role="exc"} and returnNULL; otherwise return a reference to a Unicode object.::: versionadded 3.2 :::
Similar to
PyModule_GetFilenameObject{.interpreted-text role="c:func"} but return the filename encoded to 'utf-8'.The returned buffer is only valid until the module's
~module.__file__{.interpreted-text role="py:attr"} attribute is reassigned or the module is destroyed.::: deprecated 3.2
PyModule_GetFilename{.interpreted-text role="c:func"} raisesUnicodeEncodeError{.interpreted-text role="exc"} on unencodable filenames, usePyModule_GetFilenameObject{.interpreted-text role="c:func"} instead. :::
Module definition {#pymoduledef_slot}
Modules created using the C API are typically defined using an array of slots{.interpreted-text role="dfn"}. The slots provide a "description" of how a module should be created.
::: versionchanged 3.15
Previously, a PyModuleDef{.interpreted-text role="c:type"} struct was necessary to define modules. The older way of defining modules is still available: consult either the pymoduledef{.interpreted-text role="ref"} section or earlier versions of this documentation if you plan to support earlier Python versions.
:::
The slots array is usually used to define an extension module's "main" module object (see extension-modules{.interpreted-text role="ref"} for details). It can also be used to create extension modules dynamically <module-from-slots>{.interpreted-text role="ref"}.
Unless specified otherwise, the same slot ID may not be repeated in an array of slots.
A slot ID, chosen from the available
Py_mod_*values explained below.An ID of 0 marks the end of a
!PyModuleDef_Slot{.interpreted-text role="c:type"} array.Value of the slot, whose meaning depends on the slot ID.
The value may not be NULL. To leave a slot out, omit the
PyModuleDef_Slot{.interpreted-text role="c:type"} entry entirely.::: versionadded 3.5 :::
Metadata slots
Slot ID <PyModuleDef_Slot.slot>{.interpreted-text role="c:type"} for the name of the new module, as a NUL-terminated UTF8-encodedconst char *.Note that modules are typically created using a
~importlib.machinery.ModuleSpec{.interpreted-text role="py:class"}, and when they are, the name from the spec will be used instead of!Py_mod_name{.interpreted-text role="c:data"}. However, it is still recommended to include this slot for introspection and debugging purposes.::: versionadded 3.15
Use
PyModuleDef.m_name{.interpreted-text role="c:member"} instead to support previous versions. :::
Slot ID <PyModuleDef_Slot.slot>{.interpreted-text role="c:type"} for the docstring of the new module, as a NUL-terminated UTF8-encodedconst char *.Usually it is set to a variable created with
PyDoc_STRVAR{.interpreted-text role="c:macro"}.::: versionadded 3.15
Use
PyModuleDef.m_doc{.interpreted-text role="c:member"} instead to support previous versions. :::
Feature slots
Slot ID <PyModuleDef_Slot.slot>{.interpreted-text role="c:type"} whose value points to aPyABIInfo{.interpreted-text role="c:struct"} structure describing the ABI that the extension is using.A suitable
!PyABIInfo{.interpreted-text role="c:struct"} variable can be defined using thePyABIInfo_VAR{.interpreted-text role="c:macro"} macro, as in:PyABIInfo_VAR(abi_info); static PyModuleDef_Slot mymodule_slots[] = { {Py_mod_abi, &abi_info}, ... };When creating a module, Python checks the value of this slot using
PyABIInfo_Check{.interpreted-text role="c:func"}.::: versionadded 3.15 :::
Slot ID <PyModuleDef_Slot.slot>{.interpreted-text role="c:type"} whose value is one of:The module does not support being imported in subinterpreters.
The module supports being imported in subinterpreters, but only when they share the main interpreter's GIL. (See
isolating-extensions-howto{.interpreted-text role="ref"}.)The module supports being imported in subinterpreters, even when they have their own GIL. (See
isolating-extensions-howto{.interpreted-text role="ref"}.)This slot determines whether or not importing this module in a subinterpreter will fail.
If
Py_mod_multiple_interpretersis not specified, the import machinery defaults toPy_MOD_MULTIPLE_INTERPRETERS_SUPPORTED.::: versionadded 3.12 :::
Slot ID <PyModuleDef_Slot.slot>{.interpreted-text role="c:type"} whose value is one of:The module depends on the presence of the global interpreter lock (GIL), and may access global state without synchronization.
The module is safe to run without an active GIL.
This slot is ignored by Python builds not configured with
--disable-gil{.interpreted-text role="option"}. Otherwise, it determines whether or not importing this module will cause the GIL to be automatically enabled. Seewhatsnew313-free-threaded-cpython{.interpreted-text role="ref"} for more detail.If
Py_mod_gilis not specified, the import machinery defaults toPy_MOD_GIL_USED.::: versionadded 3.13 :::
Creation and initialization slots
Slot ID <PyModuleDef_Slot.slot>{.interpreted-text role="c:type"} for a function that creates the module object itself. The function must have the signature:The function will be called with:
- spec: a
ModuleSpec-like object, meaning that any attributes defined forimportlib.machinery.ModuleSpec{.interpreted-text role="py:class"} have matching semantics. However, any of the attributes may be missing.- def:
NULL, or the module definition if the module is created from one.The function should return a new module object, or set an error and return
NULL.This function should be kept minimal. In particular, it should not call arbitrary Python code, as trying to import the same module again may result in an infinite loop.
If
Py_mod_createis not specified, the import machinery will create a normal module object usingPyModule_New{.interpreted-text role="c:func"}. The name is taken from spec, not the definition, to allow extension modules to dynamically adjust to their place in the module hierarchy and be imported under different names through symlinks, all while sharing a single module definition.There is no requirement for the returned object to be an instance of
PyModule_Type{.interpreted-text role="c:type"}. However, some slots may only be used with!PyModule_Type{.interpreted-text role="c:type"} instances; in particular:
Py_mod_exec{.interpreted-text role="c:macro"},module state slots <ext-module-state-slots>{.interpreted-text role="ref"} (Py_mod_state_*),Py_mod_token{.interpreted-text role="c:macro"}.::: versionadded 3.5 :::
::: versionchanged 3.15
The slots argument may be a
ModuleSpec-like object, rather than a true~importlib.machinery.ModuleSpec{.interpreted-text role="py:class"} instance. Note that previous versions of CPython did not enforce this.The def argument may now be
NULL, since modules are not necessarily made from definitions. :::
Slot ID <PyModuleDef_Slot.slot>{.interpreted-text role="c:type"} for a function that willexecute{.interpreted-text role="dfn"}, or initialize, the module. This function does the equivalent to executing the code of a Python module: typically, it adds classes and constants to the module. The signature of the function is:See the
capi-module-support-functions{.interpreted-text role="ref"} section for some useful functions to call.For backwards compatibility, the
PyModuleDef.m_slots{.interpreted-text role="c:type"} array may contain multiple!Py_mod_exec{.interpreted-text role="c:macro"} slots; these are processed in the order they appear in the array. Elsewhere (that is, in arguments toPyModule_FromSlotsAndSpec{.interpreted-text role="c:func"} and in return values ofPyModExport_{<name>}{.interpreted-text role="samp"}), repeating the slot is not allowed.::: versionadded 3.5 :::
::: versionchanged 3.15
Repeated
Py_mod_execslots are disallowed, except inPyModuleDef.m_slots{.interpreted-text role="c:type"}. :::
Slot ID <PyModuleDef_Slot.slot>{.interpreted-text role="c:type"} for a table of module-level functions, as an array ofPyMethodDef{.interpreted-text role="c:type"} values suitable as the functions argument toPyModule_AddFunctions{.interpreted-text role="c:func"}.Like other slot IDs, a slots array may only contain one
!Py_mod_methods{.interpreted-text role="c:macro"} entry. To add functions from multiplePyMethodDef{.interpreted-text role="c:type"} arrays, callPyModule_AddFunctions{.interpreted-text role="c:func"} in thePy_mod_exec{.interpreted-text role="c:macro"} function.The table must be statically allocated (or otherwise guaranteed to outlive the module object).
::: versionadded 3.15
Use
PyModuleDef.m_methods{.interpreted-text role="c:member"} instead to support previous versions. :::
Module state {#ext-module-state}
Extension modules can have module state -- a piece of memory that is allocated on module creation, and freed when the module object is deallocated. The module state is specified using dedicated slots <ext-module-state-slots>{.interpreted-text role="ref"}.
A typical use of module state is storing an exception type -- or indeed any type object defined by the module --
Unlike the module's Python attributes, Python code cannot replace or delete data stored in module state.
Keeping per-module information in attributes and module state, rather than in static globals, makes module objects isolated and safer for use in multiple sub-interpreters. It also helps Python do an orderly clean-up when it shuts down.
Extensions that keep references to Python objects as part of module state must implement Py_mod_state_traverse{.interpreted-text role="c:macro"} and Py_mod_state_clear{.interpreted-text role="c:macro"} functions to avoid reference leaks.
To retrieve the state from a given module, use the following functions:
Return the "state" of the module, that is, a pointer to the block of memory allocated at module creation time, or
NULL. SeePy_mod_state_size{.interpreted-text role="c:macro"}.On error, return
NULLwith an exception set. UsePyErr_Occurred{.interpreted-text role="c:func"} to tell this case apart from missing module state.
Set *result to the size of module's state, as specified using
Py_mod_state_size{.interpreted-text role="c:macro"} (orPyModuleDef.m_size{.interpreted-text role="c:member"}), and return 0.On error, set *result to -1, and return -1 with an exception set.
::: versionadded 3.15 :::
Slots for defining module state {#ext-module-state-slots}
The following PyModuleDef_Slot.slot{.interpreted-text role="c:member"} IDs are available for defining the module state.
Slot ID <PyModuleDef_Slot.slot>{.interpreted-text role="c:type"} for the size of the module state, in bytes.Setting the value to a non-negative value means that the module can be re-initialized and specifies the additional amount of memory it requires for its state.
See PEP 3121 for more details.
Use
PyModule_GetStateSize{.interpreted-text role="c:func"} to retrieve the size of a given module.::: versionadded 3.15
Use
PyModuleDef.m_size{.interpreted-text role="c:member"} instead to support previous versions. :::
Slot ID <PyModuleDef_Slot.slot>{.interpreted-text role="c:type"} for a traversal function to call during GC traversal of the module object.The signature of the function, and meanings of the arguments, is similar as for
PyTypeObject.tp_traverse{.interpreted-text role="c:member"}:This function is not called if the module state was requested but is not allocated yet. This is the case immediately after the module is created and before the module is executed (
Py_mod_exec{.interpreted-text role="c:data"} function). More precisely, this function is not called if the state size (Py_mod_state_size{.interpreted-text role="c:data"}) is greater than 0 and the module state (as returned byPyModule_GetState{.interpreted-text role="c:func"}) isNULL.::: versionadded 3.15
Use
PyModuleDef.m_size{.interpreted-text role="c:member"} instead to support previous versions. :::
Slot ID <PyModuleDef_Slot.slot>{.interpreted-text role="c:type"} for a clear function to call during GC clearing of the module object.The signature of the function is:
This function is not called if the module state was requested but is not allocated yet. This is the case immediately after the module is created and before the module is executed (
Py_mod_exec{.interpreted-text role="c:data"} function). More precisely, this function is not called if the state size (Py_mod_state_size{.interpreted-text role="c:data"}) is greater than 0 and the module state (as returned byPyModule_GetState{.interpreted-text role="c:func"}) isNULL.Like
PyTypeObject.tp_clear{.interpreted-text role="c:member"}, this function is not always called before a module is deallocated. For example, when reference counting is enough to determine that an object is no longer used, the cyclic garbage collector is not involved and thePy_mod_state_free{.interpreted-text role="c:macro"} function is called directly.::: versionadded 3.15
Use
PyModuleDef.m_clear{.interpreted-text role="c:member"} instead to support previous versions. :::
Slot ID <PyModuleDef_Slot.slot>{.interpreted-text role="c:type"} for a function to call during deallocation of the module object.The signature of the function is:
This function is not called if the module state was requested but is not allocated yet. This is the case immediately after the module is created and before the module is executed (
Py_mod_exec{.interpreted-text role="c:data"} function). More precisely, this function is not called if the state size (Py_mod_state_size{.interpreted-text role="c:data"}) is greater than 0 and the module state (as returned byPyModule_GetState{.interpreted-text role="c:func"}) isNULL.::: versionadded 3.15
Use
PyModuleDef.m_free{.interpreted-text role="c:member"} instead to support previous versions. :::
Module token {#ext-module-token}
Each module may have an associated token: a pointer-sized value intended to identify of the module state's memory layout. This means that if you have a module object, but you are not sure if it "belongs" to your extension, you can check using code like this:
PyObject *module = <the module in question>
void *module_token;
if (PyModule_GetToken(module, &module_token) < 0) {
return NULL;
}
if (module_token != your_token) {
PyErr_SetString(PyExc_ValueError, "unexpected module")
return NULL;
}
// This module's state has the expected memory layout; it's safe to cast
struct my_state state = (struct my_state*)PyModule_GetState(module)
A module's token -- and the your_token value to use in the above code -- is:
- For modules created with
PyModuleDef{.interpreted-text role="c:type"}: the address of thatPyModuleDef{.interpreted-text role="c:type"}; - For modules defined with the
Py_mod_token{.interpreted-text role="c:macro"} slot: the value of that slot; - For modules created from an
PyModExport_*export hook <extension-export-hook>{.interpreted-text role="ref"}: the slots array that the export hook returned (unless overridden withPy_mod_token{.interpreted-text role="c:macro"}).
Slot ID <PyModuleDef_Slot.slot>{.interpreted-text role="c:type"} for the module token.If you use this slot to set the module token (rather than rely on the default), you must ensure that:
- The pointer outlives the class, so it's not reused for something else while the class exists.
- It "belongs" to the extension module where the class lives, so it will not clash with other extensions.
- If the token points to a
PyModuleDef{.interpreted-text role="c:type"} struct, the module should behave as if it was created from thatPyModuleDef{.interpreted-text role="c:type"}. In particular, the module state must have matching layout and semantics.Modules created from
PyModuleDef{.interpreted-text role="c:type"} always use the address of thePyModuleDef{.interpreted-text role="c:type"} as the token. This means that!Py_mod_token{.interpreted-text role="c:macro"} cannot be used inPyModuleDef.m_slots{.interpreted-text role="c:member"}.::: versionadded 3.15 :::
Set *result to the module token for module and return 0.
On error, set *result to NULL, and return -1 with an exception set.
::: versionadded 3.15 :::
See also PyType_GetModuleByToken{.interpreted-text role="c:func"}.
Creating extension modules dynamically {#module-from-slots}
The following functions may be used to create an extension module dynamically, rather than from an extension's export hook <extension-export-hook>{.interpreted-text role="ref"}.
Create a new module object, given an array of
slots <pymoduledef_slot>{.interpreted-text role="ref"} and the~importlib.machinery.ModuleSpec{.interpreted-text role="py:class"} spec.The slots argument must point to an array of
PyModuleDef_Slot{.interpreted-text role="c:type"} structures, terminated by an entry slot with slot ID of 0 (typically written as{0}or{0, NULL}in C). The slots argument may not beNULL.The spec argument may be any
ModuleSpec-like object, as described inPy_mod_create{.interpreted-text role="c:macro"} documentation. Currently, the spec must have anameattribute.On success, return the new module. On error, return
NULLwith an exception set.Note that this does not process the module's execution slot (
Py_mod_exec{.interpreted-text role="c:data"}). Both!PyModule_FromSlotsAndSpec{.interpreted-text role="c:func"} andPyModule_Exec{.interpreted-text role="c:func"} must be called to fully initialize a module. (See alsomulti-phase-initialization{.interpreted-text role="ref"}.)The slots array only needs to be valid for the duration of the
!PyModule_FromSlotsAndSpec{.interpreted-text role="c:func"} call. In particular, it may be heap-allocated.::: versionadded 3.15 :::
Execute the
Py_mod_exec{.interpreted-text role="c:data"} slot(s) of module.On success, return 0. On error, return -1 with an exception set.
For clarity: If module has no slots, for example if it uses
legacy single-phase initialization <single-phase-initialization>{.interpreted-text role="ref"}, this function does nothing and returns 0.::: versionadded 3.15 :::
Module definition struct {#pymoduledef}
Traditionally, extension modules were defined using a module definition as the "description" of how a module should be created. Rather than using an array of slots <pymoduledef_slot>{.interpreted-text role="ref"} directly, the definition has dedicated members for most common functionality, and allows additional slots as an extension mechanism.
This way of defining modules is still available and there are no plans to remove it.
The module definition struct, which holds information needed to create a module object.
This structure must be statically allocated (or be otherwise guaranteed to be valid while any modules created from it exist). Usually, there is only one variable of this type for each extension module defined this way.
Always initialize this member to
PyModuleDef_HEAD_INIT{.interpreted-text role="c:macro"}:The type of
!PyModuleDef.m_base{.interpreted-text role="c:member"}.The required initial value for
!PyModuleDef.m_base{.interpreted-text role="c:member"}.Corresponds to the
Py_mod_name{.interpreted-text role="c:macro"} slot.These members correspond to the
Py_mod_doc{.interpreted-text role="c:macro"} slot. Setting this to NULL is equivalent to omitting the slot.Corresponds to the
Py_mod_state_size{.interpreted-text role="c:macro"} slot. Setting this to zero is equivalent to omitting the slot.When using
legacy single-phase initialization <single-phase-initialization>{.interpreted-text role="ref"} or when creating modules dynamically usingPyModule_Create{.interpreted-text role="c:func"} orPyModule_Create2{.interpreted-text role="c:func"},!m_size{.interpreted-text role="c:member"} may be set to -1. This indicates that the module does not support sub-interpreters, because it has global state.Corresponds to the
Py_mod_methods{.interpreted-text role="c:macro"} slot. Setting this to NULL is equivalent to omitting the slot.An array of additional slots, terminated by a
{0, NULL}entry.If the array contains slots corresponding to
PyModuleDef{.interpreted-text role="c:type"} members, the values must match. For example, if you usePy_mod_name{.interpreted-text role="c:macro"} in!m_slots{.interpreted-text role="c:member"},PyModuleDef.m_name{.interpreted-text role="c:member"} must be set to the same pointer (not just an equal string).::: versionchanged 3.5
Prior to version 3.5, this member was always set to
NULL, and was defined as::::
The type of
PyModuleDefobjects.
::: {#moduledef-dynamic}
The following API can be used to create modules from a !PyModuleDef{.interpreted-text role="c:type"} struct:
:::
Create a new module object, given the definition in def. This is a macro that calls
PyModule_Create2{.interpreted-text role="c:func"} with module_api_version set toPYTHON_API_VERSION{.interpreted-text role="c:macro"}, or toPYTHON_ABI_VERSION{.interpreted-text role="c:macro"} if using thelimited API <limited-c-api>{.interpreted-text role="ref"}.
Create a new module object, given the definition in def, assuming the API version module_api_version. If that version does not match the version of the running interpreter, a
RuntimeWarning{.interpreted-text role="exc"} is emitted.Return
NULLwith an exception set on error.This function does not support slots. The
~PyModuleDef.m_slots{.interpreted-text role="c:member"} member of def must beNULL.:::: note ::: title Note :::
Most uses of this function should be using
PyModule_Create{.interpreted-text role="c:func"} instead; only use this if you are sure you need it. ::::
This macro calls
PyModule_FromDefAndSpec2{.interpreted-text role="c:func"} with module_api_version set toPYTHON_API_VERSION{.interpreted-text role="c:macro"}, or toPYTHON_ABI_VERSION{.interpreted-text role="c:macro"} if using thelimited API <limited-c-api>{.interpreted-text role="ref"}.::: versionadded 3.5 :::
Create a new module object, given the definition in def and the ModuleSpec spec, assuming the API version module_api_version. If that version does not match the version of the running interpreter, a
RuntimeWarning{.interpreted-text role="exc"} is emitted.Return
NULLwith an exception set on error.Note that this does not process execution slots (
Py_mod_exec{.interpreted-text role="c:data"}). BothPyModule_FromDefAndSpecandPyModule_ExecDefmust be called to fully initialize a module.:::: note ::: title Note :::
Most uses of this function should be using
PyModule_FromDefAndSpec{.interpreted-text role="c:func"} instead; only use this if you are sure you need it. ::::::: versionadded 3.5 :::
Process any execution slots (
Py_mod_exec{.interpreted-text role="c:data"}) given in def.::: versionadded 3.5 :::
Support functions {#capi-module-support-functions}
The following functions are provided to help initialize a module object. They are intended for a module's execution slot (Py_mod_exec{.interpreted-text role="c:data"}), the initialization function for legacy single-phase initialization <single-phase-initialization>{.interpreted-text role="ref"}, or code that creates modules dynamically.
Add an object to module as name. This is a convenience function which can be used from the module's initialization function.
On success, return
0. On error, raise an exception and return-1.Example usage:
static int add_spam(PyObject *module, int value) { PyObject *obj = PyLong_FromLong(value); if (obj == NULL) { return -1; } int res = PyModule_AddObjectRef(module, "spam", obj); Py_DECREF(obj); return res; }To be convenient, the function accepts
NULLvalue with an exception set. In this case, return-1and just leave the raised exception unchanged.The example can also be written without checking explicitly if obj is
NULL:static int add_spam(PyObject *module, int value) { PyObject *obj = PyLong_FromLong(value); int res = PyModule_AddObjectRef(module, "spam", obj); Py_XDECREF(obj); return res; }Note that
Py_XDECREF()should be used instead ofPy_DECREF()in this case, since obj can beNULL.The number of different name strings passed to this function should be kept small, usually by only using statically allocated strings as name. For names that aren't known at compile time, prefer calling
PyUnicode_FromString{.interpreted-text role="c:func"} andPyObject_SetAttr{.interpreted-text role="c:func"} directly. For more details, seePyUnicode_InternFromString{.interpreted-text role="c:func"}, which may be used internally to create a key object.::: versionadded 3.10 :::
Similar to
PyModule_AddObjectRef{.interpreted-text role="c:func"}, but "steals" a reference to value. It can be called with a result of function that returns a new reference without bothering to check its result or even saving it to a variable.Example usage:
if (PyModule_Add(module, "spam", PyBytes_FromString(value)) < 0) { goto error; }::: versionadded 3.13 :::
Similar to
PyModule_AddObjectRef{.interpreted-text role="c:func"}, but steals a reference to value on success (if it returns0).The new
PyModule_Add{.interpreted-text role="c:func"} orPyModule_AddObjectRef{.interpreted-text role="c:func"} functions are recommended, since it is easy to introduce reference leaks by misusing thePyModule_AddObject{.interpreted-text role="c:func"} function.:::: note ::: title Note :::
Unlike other functions that steal references,
PyModule_AddObject()only releases the reference to value on success.This means that its return value must be checked, and calling code must
Py_XDECREF{.interpreted-text role="c:func"} value manually on error. ::::Example usage:
PyObject *obj = PyBytes_FromString(value); if (PyModule_AddObject(module, "spam", obj) < 0) { // If 'obj' is not NULL and PyModule_AddObject() failed, // 'obj' strong reference must be deleted with Py_XDECREF(). // If 'obj' is NULL, Py_XDECREF() does nothing. Py_XDECREF(obj); goto error; } // PyModule_AddObject() stole a reference to obj: // Py_XDECREF(obj) is not needed here.::: deprecated 3.13
PyModule_AddObject{.interpreted-text role="c:func"} issoft deprecated{.interpreted-text role="term"}. :::
Add an integer constant to module as name. This convenience function can be used from the module's initialization function. Return
-1with an exception set on error,0on success.This is a convenience function that calls
PyLong_FromLong{.interpreted-text role="c:func"} andPyModule_AddObjectRef{.interpreted-text role="c:func"}; see their documentation for details.
Add a string constant to module as name. This convenience function can be used from the module's initialization function. The string value must be
NULL-terminated. Return-1with an exception set on error,0on success.This is a convenience function that calls
PyUnicode_InternFromString{.interpreted-text role="c:func"} andPyModule_AddObjectRef{.interpreted-text role="c:func"}; see their documentation for details.
Add an int constant to module. The name and the value are taken from macro. For example
PyModule_AddIntMacro(module, AF_INET)adds the int constant AF_INET with the value of AF_INET to module. Return-1with an exception set on error,0on success.
Add a string constant to module.
Add a type object to module. The type object is finalized by calling internally
PyType_Ready{.interpreted-text role="c:func"}. The name of the type object is taken from the last component of~PyTypeObject.tp_name{.interpreted-text role="c:member"} after dot. Return-1with an exception set on error,0on success.::: versionadded 3.9 :::
Add the functions from the
NULLterminated functions array to module. Refer to thePyMethodDef{.interpreted-text role="c:type"} documentation for details on individual entries (due to the lack of a shared module namespace, module level "functions" implemented in C typically receive the module as their first parameter, making them similar to instance methods on Python classes).This function is called automatically when creating a module from
PyModuleDef(such as when usingmulti-phase-initialization{.interpreted-text role="ref"},PyModule_Create, orPyModule_FromDefAndSpec). Some module authors may prefer defining functions in multiplePyMethodDef{.interpreted-text role="c:type"} arrays; in that case they should call this function directly.The functions array must be statically allocated (or otherwise guaranteed to outlive the module object).
::: versionadded 3.5 :::
Set the docstring for module to docstring. This function is called automatically when creating a module from
PyModuleDef(such as when usingmulti-phase-initialization{.interpreted-text role="ref"},PyModule_Create, orPyModule_FromDefAndSpec).Return
0on success. Return-1with an exception set on error.::: versionadded 3.5 :::
Indicate that module does or does not support running without the global interpreter lock (GIL), using one of the values from
Py_mod_gil{.interpreted-text role="c:macro"}. It must be called during module's initialization function when usingsingle-phase-initialization{.interpreted-text role="ref"}. If this function is not called during module initialization, the import machinery assumes the module does not support running without the GIL. This function is only available in Python builds configured with--disable-gil{.interpreted-text role="option"}. Return-1with an exception set on error,0on success.::: versionadded 3.13 :::
Module lookup (single-phase initialization)
The legacy single-phase initialization <single-phase-initialization>{.interpreted-text role="ref"} initialization scheme creates singleton modules that can be looked up in the context of the current interpreter. This allows the module object to be retrieved later with only a reference to the module definition.
These functions will not work on modules created using multi-phase initialization, since multiple such modules can be created from a single definition.
Returns the module object that was created from def for the current interpreter. This method requires that the module object has been attached to the interpreter state with
PyState_AddModule{.interpreted-text role="c:func"} beforehand. In case the corresponding module object is not found or has not been attached to the interpreter state yet, it returnsNULL.
Attaches the module object passed to the function to the interpreter state. This allows the module object to be accessible via
PyState_FindModule{.interpreted-text role="c:func"}.Only effective on modules created using single-phase initialization.
Python calls
PyState_AddModuleautomatically after importing a module that usessingle-phase initialization <single-phase-initialization>{.interpreted-text role="ref"}, so it is unnecessary (but harmless) to call it from module initialization code. An explicit call is needed only if the module's own init code subsequently callsPyState_FindModule. The function is mainly intended for implementing alternative import mechanisms (either by calling it directly, or by referring to its implementation for details of the required state updates).If a module was attached previously using the same def, it is replaced by the new module.
The caller must have an
attached thread state{.interpreted-text role="term"}.Return
-1with an exception set on error,0on success.::: versionadded 3.3 :::
Removes the module object created from def from the interpreter state. Return
-1with an exception set on error,0on success.The caller must have an
attached thread state{.interpreted-text role="term"}.::: versionadded 3.3 :::