Object Protocol
- PyObject* Py_NotImplemented
The NotImplemented singleton, used to signal that an operation is not implemented for the given type combination.
- Py_RETURN_NOTIMPLEMENTED
Properly handle returning Py_NotImplemented from within a C function (that is, increment the reference count of NotImplemented and return it).
- int PyObject_Print(PyObject *o, FILE *fp, int flags)
Print an object o, on file fp. Returns -1 on error. The flags argument is used to enable certain printing options. The only option currently supported is Py_PRINT_RAW; if given, the str() of the object is written instead of the repr().
- int PyObject_HasAttr(PyObject *o, PyObject *attr_name)
Returns 1 if o has the attribute attr_name, and 0 otherwise. This is equivalent to the Python expression hasattr(o, attr_name). This function always succeeds.
- int PyObject_HasAttrString(PyObject *o, const char *attr_name)
Returns 1 if o has the attribute attr_name, and 0 otherwise. This is equivalent to the Python expression hasattr(o, attr_name). This function always succeeds.
- PyObject* PyObject_GetAttr(PyObject *o, PyObject *attr_name)
- Return value: New reference.
Retrieve an attribute named attr_name from object o. Returns the attribute value on success, or NULL on failure. This is the equivalent of the Python expression o.attr_name.
- PyObject* PyObject_GetAttrString(PyObject *o, const char *attr_name)
- Return value: New reference.
Retrieve an attribute named attr_name from object o. Returns the attribute value on success, or NULL on failure. This is the equivalent of the Python expression o.attr_name.
- PyObject* PyObject_GenericGetAttr(PyObject *o, PyObject *name)
Generic attribute getter function that is meant to be put into a type object’s tp_getattro slot. It looks for a descriptor in the dictionary of classes in the object’s MRO as well as an attribute in the object’s __dict__ (if present). As outlined in Implementing Descriptors, data descriptors take preference over instance attributes, while non-data descriptors don’t. Otherwise, an AttributeError is raised.
- int PyObject_SetAttr(PyObject *o, PyObject *attr_name, PyObject *v)
Set the value of the attribute named attr_name, for object o, to the value v. Returns -1 on failure. This is the equivalent of the Python statement o.attr_name = v.
- int PyObject_SetAttrString(PyObject *o, const char *attr_name, PyObject *v)
Set the value of the attribute named attr_name, for object o, to the value v. Returns -1 on failure. This is the equivalent of the Python statement o.attr_name = v.
- int PyObject_GenericSetAttr(PyObject *o, PyObject *name, PyObject *value)
Generic attribute setter function that is meant to be put into a type object’s tp_setattro slot. It looks for a data descriptor in the dictionary of classes in the object’s MRO, and if found it takes preference over setting the attribute in the instance dictionary. Otherwise, the attribute is set in the object’s __dict__ (if present). Otherwise, an AttributeError is raised and -1 is returned.
- int PyObject_DelAttr(PyObject *o, PyObject *attr_name)
Delete attribute named attr_name, for object o. Returns -1 on failure. This is the equivalent of the Python statement del o.attr_name.
- int PyObject_DelAttrString(PyObject *o, const char *attr_name)
Delete attribute named attr_name, for object o. Returns -1 on failure. This is the equivalent of the Python statement del o.attr_name.
- PyObject* PyType_GenericGetDict(PyObject *o, void *context)
A generic implementation for the getter of a __dict__ descriptor. It creates the dictionary if necessary.
New in version 3.3.
- int PyType_GenericSetDict(PyObject *o, void *context)
A generic implementation for the setter of a __dict__ descriptor. This implementation does not allow the dictionary to be deleted.
New in version 3.3.
- PyObject* PyObject_RichCompare(PyObject *o1, PyObject *o2, int opid)
- Return value: New reference.
Compare the values of o1 and o2 using the operation specified by opid, which must be one of Py_LT, Py_LE, Py_EQ, Py_NE, Py_GT, or Py_GE, corresponding to <, <=, ==, !=, >, or >= respectively. This is the equivalent of the Python expression o1 op o2, where op is the operator corresponding to opid. Returns the value of the comparison on success, or NULL on failure.
- int PyObject_RichCompareBool(PyObject *o1, PyObject *o2, int opid)
Compare the values of o1 and o2 using the operation specified by opid, which must be one of Py_LT, Py_LE, Py_EQ, Py_NE, Py_GT, or Py_GE, corresponding to <, <=, ==, !=, >, or >= respectively. Returns -1 on error, 0 if the result is false, 1 otherwise. This is the equivalent of the Python expression o1 op o2, where op is the operator corresponding to opid.
Note
If o1 and o2 are the same object, PyObject_RichCompareBool() will always return 1 for Py_EQ and 0 for Py_NE.
- PyObject* PyObject_Repr(PyObject *o)
- Return value: New reference.
Compute a string representation of object o. Returns the string representation on success, NULL on failure. This is the equivalent of the Python expression repr(o). Called by the repr() built-in function.
Changed in version 3.4: This function now includes a debug assertion to help ensure that it does not silently discard an active exception.
- PyObject* PyObject_ASCII(PyObject *o)
As PyObject_Repr(), compute a string representation of object o, but escape the non-ASCII characters in the string returned by PyObject_Repr() with \x, \u or \U escapes. This generates a string similar to that returned by PyObject_Repr() in Python 2. Called by the ascii() built-in function.
- PyObject* PyObject_Str(PyObject *o)
- Return value: New reference.
Compute a string representation of object o. Returns the string representation on success, NULL on failure. This is the equivalent of the Python expression str(o). Called by the str() built-in function and, therefore, by the print() function.
Changed in version 3.4: This function now includes a debug assertion to help ensure that it does not silently discard an active exception.
- PyObject* PyObject_Bytes(PyObject *o)
Compute a bytes representation of object o. NULL is returned on failure and a bytes object on success. This is equivalent to the Python expression bytes(o), when o is not an integer. Unlike bytes(o), a TypeError is raised when o is an integer instead of a zero-initialized bytes object.
- int PyObject_IsInstance(PyObject *inst, PyObject *cls)
Returns 1 if inst is an instance of the class cls or a subclass of cls, or 0 if not. On error, returns -1 and sets an exception. If cls is a type object rather than a class object, PyObject_IsInstance() returns 1 if inst is of type cls. If cls is a tuple, the check will be done against every entry in cls. The result will be 1 when at least one of the checks returns 1, otherwise it will be 0. If inst is not a class instance and cls is neither a type object, nor a class object, nor a tuple, inst must have a __class__ attribute — the class relationship of the value of that attribute with cls will be used to determine the result of this function.
Subclass determination is done in a fairly straightforward way, but includes a wrinkle that implementors of extensions to the class system may want to be aware of. If A and B are class objects, B is a subclass of A if it inherits from A either directly or indirectly. If either is not a class object, a more general mechanism is used to determine the class relationship of the two objects. When testing if B is a subclass of A, if A is B, PyObject_IsSubclass() returns true. If A and B are different objects, B‘s __bases__ attribute is searched in a depth-first fashion for A — the presence of the __bases__ attribute is considered sufficient for this determination.
- int PyObject_IsSubclass(PyObject *derived, PyObject *cls)
Returns 1 if the class derived is identical to or derived from the class cls, otherwise returns 0. In case of an error, returns -1. If cls is a tuple, the check will be done against every entry in cls. The result will be 1 when at least one of the checks returns 1, otherwise it will be 0. If either derived or cls is not an actual class object (or tuple), this function uses the generic algorithm described above.
- int PyCallable_Check(PyObject *o)
Determine if the object o is callable. Return 1 if the object is callable and 0 otherwise. This function always succeeds.
- PyObject* PyObject_Call(PyObject *callable_object, PyObject *args, PyObject *kw)
- Return value: New reference.
Call a callable Python object callable_object, with arguments given by the tuple args, and named arguments given by the dictionary kw. If no named arguments are needed, kw may be NULL. args must not be NULL, use an empty tuple if no arguments are needed. Returns the result of the call on success, or NULL on failure. This is the equivalent of the Python expression callable_object(*args, **kw).
- PyObject* PyObject_CallObject(PyObject *callable_object, PyObject *args)
- Return value: New reference.
Call a callable Python object callable_object, with arguments given by the tuple args. If no arguments are needed, then args may be NULL. Returns the result of the call on success, or NULL on failure. This is the equivalent of the Python expression callable_object(*args).
- PyObject* PyObject_CallFunction(PyObject *callable, const char *format, ...)
- Return value: New reference.
Call a callable Python object callable, with a variable number of C arguments. The C arguments are described using a Py_BuildValue() style format string. The format may be NULL, indicating that no arguments are provided. Returns the result of the call on success, or NULL on failure. This is the equivalent of the Python expression callable(*args). Note that if you only pass PyObject * args, PyObject_CallFunctionObjArgs() is a faster alternative.
Changed in version 3.4: The type of format was changed from char *.
- PyObject* PyObject_CallMethod(PyObject *o, const char *method, const char *format, ...)
- Return value: New reference.
Call the method named method of object o with a variable number of C arguments. The C arguments are described by a Py_BuildValue() format string that should produce a tuple. The format may be NULL, indicating that no arguments are provided. Returns the result of the call on success, or NULL on failure. This is the equivalent of the Python expression o.method(args). Note that if you only pass PyObject * args, PyObject_CallMethodObjArgs() is a faster alternative.
Changed in version 3.4: The types of method and format were changed from char *.
- PyObject* PyObject_CallFunctionObjArgs(PyObject *callable, ..., NULL)
- Return value: New reference.
Call a callable Python object callable, with a variable number of PyObject* arguments. The arguments are provided as a variable number of parameters followed by NULL. Returns the result of the call on success, or NULL on failure.
- PyObject* PyObject_CallMethodObjArgs(PyObject *o, PyObject *name, ..., NULL)
- Return value: New reference.
Calls a method of the object o, where the name of the method is given as a Python string object in name. It is called with a variable number of PyObject* arguments. The arguments are provided as a variable number of parameters followed by NULL. Returns the result of the call on success, or NULL on failure.
- Py_hash_t PyObject_Hash(PyObject *o)
Compute and return the hash value of an object o. On failure, return -1. This is the equivalent of the Python expression hash(o).
Changed in version 3.2: The return type is now Py_hash_t. This is a signed integer the same size as Py_ssize_t.
- Py_hash_t PyObject_HashNotImplemented(PyObject *o)
Set a TypeError indicating that type(o) is not hashable and return -1. This function receives special treatment when stored in a tp_hash slot, allowing a type to explicitly indicate to the interpreter that it is not hashable.
- int PyObject_IsTrue(PyObject *o)
Returns 1 if the object o is considered to be true, and 0 otherwise. This is equivalent to the Python expression not not o. On failure, return -1.
- int PyObject_Not(PyObject *o)
Returns 0 if the object o is considered to be true, and 1 otherwise. This is equivalent to the Python expression not o. On failure, return -1.
- PyObject* PyObject_Type(PyObject *o)
- Return value: New reference.
When o is non-NULL, returns a type object corresponding to the object type of object o. On failure, raises SystemError and returns NULL. This is equivalent to the Python expression type(o). This function increments the reference count of the return value. There’s really no reason to use this function instead of the common expression o->ob_type, which returns a pointer of type PyTypeObject*, except when the incremented reference count is needed.
- int PyObject_TypeCheck(PyObject *o, PyTypeObject *type)
Return true if the object o is of type type or a subtype of type. Both parameters must be non-NULL.
- Py_ssize_t PyObject_Length(PyObject *o)
- Py_ssize_t PyObject_Size(PyObject *o)
Return the length of object o. If the object o provides either the sequence and mapping protocols, the sequence length is returned. On error, -1 is returned. This is the equivalent to the Python expression len(o).
- Py_ssize_t PyObject_LengthHint(PyObject *o, Py_ssize_t default)
Return an estimated length for the object o. First try to return its actual length, then an estimate using __length_hint__(), and finally return the default value. On error return -1. This is the equivalent to the Python expression operator.length_hint(o, default).
New in version 3.4.
- PyObject* PyObject_GetItem(PyObject *o, PyObject *key)
- Return value: New reference.
Return element of o corresponding to the object key or NULL on failure. This is the equivalent of the Python expression o[key].
- int PyObject_SetItem(PyObject *o, PyObject *key, PyObject *v)
Map the object key to the value v. Returns -1 on failure. This is the equivalent of the Python statement o[key] = v.
- int PyObject_DelItem(PyObject *o, PyObject *key)
Delete the mapping for key from o. Returns -1 on failure. This is the equivalent of the Python statement del o[key].
- PyObject* PyObject_Dir(PyObject *o)
- Return value: New reference.
This is equivalent to the Python expression dir(o), returning a (possibly empty) list of strings appropriate for the object argument, or NULL if there was an error. If the argument is NULL, this is like the Python dir(), returning the names of the current locals; in this case, if no execution frame is active then NULL is returned but PyErr_Occurred() will return false.