Tuple Objects

This subtype of PyObject represents a Python tuple object.

This instance of PyTypeObject represents the Python tuple type; it is the same object as tuple in the Python layer.

Return true if p is a tuple object or an instance of a subtype of the tuple type. This function always succeeds.

Return true if p is a tuple object, but not an instance of a subtype of the tuple type. This function always succeeds.

Return a new tuple object of size len, or NULL with an exception set on failure.

Create a tuple of size items and copy references from array to the new tuple.

array can be NULL if size is 0.

On success, return a new reference. On error, set an exception and return NULL.

3.15

Return a new tuple object of size n, or NULL with an exception set on failure. The tuple values are initialized to the subsequent n C arguments pointing to Python objects. PyTuple_Pack(2, a, b) is equivalent to Py_BuildValue("(OO)", a, b).

Take a pointer to a tuple object, and return the size of that tuple. On error, return -1 with an exception set.

Like PyTuple_Size, but without error checking.

Return the object at position pos in the tuple pointed to by p. If pos is negative or out of bounds, return NULL and set an IndexError exception.

The returned reference is borrowed from the tuple p (that is: it is only valid as long as you hold a reference to p). To get a strong reference, use Py_NewRef(PyTuple_GetItem(...)) <Py_NewRef> or PySequence_GetItem.

Like PyTuple_GetItem, but does no checking of its arguments.

Return the slice of the tuple pointed to by p between low and high, or NULL with an exception set on failure.

This is the equivalent of the Python expression p[low:high]. Indexing from the end of the tuple is not supported.

Insert a reference to object o at position pos of the tuple pointed to by p. Return 0 on success. If pos is out of bounds, return -1 and set an IndexError exception. This function should only be used to fill in brand new tuples; using it on an existing tuple is thread-unsafe.

[!NOTE] This function "steals <steal>" a reference to o and discards a reference to an item already in the tuple at the affected position (unless it was NULL).

Like PyTuple_SetItem, but does no error checking, and should only be used to fill in brand new tuples, using it on an existing tuple is thread-unsafe.

Bounds checking is performed as an assertion if Python is built in debug mode <debug-build> or with assertions <--with-assertions>.

[!NOTE] This function "steals <steal>" a reference to o, and, unlike PyTuple_SetItem, does not discard a reference to any item that is being replaced; any reference in the tuple at position pos will be leaked.

[!WARNING] This macro should only be used on tuples that are newly created. Using this macro on a tuple that is already in use (or in other words, has a refcount > 1) could lead to undefined behavior.

Can be used to resize a tuple. newsize will be the new length of the tuple. Because tuples are supposed to be immutable, this should only be used if there is only one reference to the object. Do not use this if the tuple may already be known to some other part of the code. The tuple will always grow or shrink at the end. Think of this as destroying the old tuple and creating a new one, only more efficiently. Returns 0 on success. Client code should never assume that the resulting value of *p will be the same as before calling this function. If the object referenced by *p is replaced, the original *p is destroyed. On failure, returns -1 and sets *p to NULL, and raises MemoryError or SystemError.

Struct Sequence Objects

A struct sequence object is a named tuple, that is, a sequence whose items can also be accessed through attributes. It is similar to collections.namedtuple, but provides a slightly different interface.

To create a struct sequence, you first have to create a specific struct sequence type.

Create a new struct sequence type from the data in desc, described below. Instances of the resulting type can be created with PyStructSequence_New.

Return NULL with an exception set on failure.

Initializes a struct sequence type type from desc in place.

Like PyStructSequence_InitType, but returns 0 on success and -1 with an exception set on failure.

3.4

Contains the meta information of a struct sequence type to create.

Fully qualified name of the type; null-terminated UTF-8 encoded. The name must contain the module name.

Pointer to docstring for the type or NULL to omit.

Pointer to NULL-terminated array with field names of the new type.

Number of fields visible to the Python side (if used as tuple).

Describes a field of a struct sequence. As a struct sequence is modeled as a tuple, all fields are typed as PyObject*. The index in the ~PyStructSequence_Desc.fields array of the PyStructSequence_Desc determines which field of the struct sequence is described.

Name for the field or NULL to end the list of named fields, set to PyStructSequence_UnnamedField to leave unnamed.

Field docstring or NULL to omit.

Special value for a field name to leave it unnamed.

3.9 The type was changed from char *.

Creates an instance of type, which must have been created with PyStructSequence_NewType.

Return NULL with an exception set on failure.

Return the object at position pos in the struct sequence pointed to by p. The returned reference is borrowed from the struct sequence p (that is: it is only valid as long as you hold a reference to p).

Bounds checking is performed as an assertion if Python is built in debug mode <debug-build> or with assertions <--with-assertions>.

Alias to PyStructSequence_GetItem.

3.13 Now implemented as an alias to PyStructSequence_GetItem.

Sets the field at index pos of the struct sequence p to value o. Like PyTuple_SET_ITEM, this should only be used to fill in brand new instances.

Bounds checking is performed as an assertion if Python is built in debug mode <debug-build> or with assertions <--with-assertions>.

[!NOTE] This function "steals <steal>" a reference to o.

Alias to PyStructSequence_SetItem.

3.13 Now implemented as an alias to PyStructSequence_SetItem.