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Kirill Smelkov
cython
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78f4d7b8
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78f4d7b8
authored
May 20, 2018
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scoder
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GitHub
May 20, 2018
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Merge pull request #2277 from gabrieldemarmiesse/dynamic_attributes
Transfer of the dynamic attributes into the userguide.
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6d44fd22
966d84c5
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docs/src/userguide/extension_types.rst
docs/src/userguide/extension_types.rst
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docs/src/userguide/extension_types.rst
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78f4d7b8
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@@ -39,14 +39,16 @@ interface to them.
.. _readonly:
Attributes
============
Static
Attributes
============
=====
Attributes of an extension type are stored directly in the object's C struct.
The set of attributes is fixed at compile time; you can't add attributes to an
extension type instance at run time simply by assigning to them, as you could
with a Python class instance. (You can subclass the extension type in Python
and add attributes to instances of the subclass, however.)
with a Python class instance. However, you can explicitly enable support
for dynamically assigned attributes, or subclass the extension type with a normal
Python class, which then supports arbitrary attribute assignments.
See :ref:`dynamic_attributes`.
There are two ways that attributes of an extension type can be accessed: by
Python attribute lookup, or by direct access to the C struct from Cython code.
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@@ -76,6 +78,47 @@ and the depth attribute readable but not writable.
Python access, not direct access. All the attributes of an extension type
are always readable and writable by C-level access.
.. _dynamic_attributes:
Dynamic Attributes
==================
It is not possible to add attributes to an extension type at runtime by default.
You have two ways of avoiding this limitation, both add an overhead when
a method is called from Python code. Especially when calling ``cpdef`` methods.
The first approach is to create a Python subclass.::
cdef class Animal:
cdef int number_of_legs
def __cinit__(self, int number_of_legs):
self.number_of_legs = number_of_legs
class ExtendableAnimal(Animal): # Note that we use class, not cdef class
pass
dog = ExtendableAnimal(4)
dog.has_tail = True
Declaring a ``__dict__`` attribute is the second way of enabling dynamic attributes.::
cdef class Animal:
cdef int number_of_legs
cdef dict __dict__
def __cinit__(self, int number_of_legs):
self.number_of_legs = number_of_legs
dog = Animal(4)
dog.has_tail = True
Type declarations
===================
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