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1[section Pickle support]
2[section Introduction]
3Pickle is a Python module for object serialization, also known as persistence, marshalling, or flattening.
4
5It is often necessary to save and restore the contents of an object to a file. One approach to this problem is to write a pair of functions that read and write data from a file in a special format. A powerful alternative approach is to use Python's pickle module. Exploiting Python's ability for introspection, the pickle module recursively converts nearly arbitrary Python objects into a stream of bytes that can be written to a file.
6
7The Boost Python Library supports the pickle module through the interface as described in detail in the [@https://docs.python.org/2/library/pickle.html Python Library Reference for pickle]. This interface involves the special methods `__getinitargs__`, `__getstate__` and `__setstate__` as described in the following. Note that `Boost.Python` is also fully compatible with Python's cPickle module.
8[endsect]
9[section The Pickle Interface]
10At the user level, the Boost.Python pickle interface involves three special methods:
11[variablelist
12[[__getinitargs__][When an instance of a Boost.Python extension class is pickled, the pickler tests if the instance has a `__getinitargs__` method. This method must return a Python `tuple` (it is most convenient to use a [link object_wrappers.boost_python_tuple_hpp.class_tuple `boost::python::tuple`]). When the instance is restored by the unpickler, the contents of this tuple are used as the arguments for the class constructor.
13
14If `__getinitargs__` is not defined, `pickle.load` will call the constructor (`__init__`) without arguments; i.e., the object must be default-constructible.]]
15[[__getstate__][When an instance of a `Boost.Python` extension class is pickled, the pickler tests if the instance has a `__getstate__` method. This method should return a Python object representing the state of the instance.]]
16[[__setstate__][When an instance of a `Boost.Python` extension class is restored by the unpickler (`pickle.load`), it is first constructed using the result of `__getinitargs__` as arguments (see above). Subsequently the unpickler tests if the new instance has a `__setstate__` method. If so, this method is called with the result of `__getstate__` (a Python object) as the argument.]]
17]
18
19The three special methods described above may be `.def()`\ 'ed individually by the user. However, `Boost.Python` provides an easy to use high-level interface via the `boost::python::pickle_suite` class that also enforces consistency: `__getstate__` and `__setstate__` must be defined as pairs. Use of this interface is demonstrated by the following examples.
20[endsect]
21[section Example]
22There are three files in `python/test` that show how to provide pickle support.
23[section pickle1.cpp]
24The C++ class in this example can be fully restored by passing the appropriate argument to the constructor. Therefore it is sufficient to define the pickle interface method `__getinitargs__`. This is done in the following way:
25Definition of the C++ pickle function:
26``
27struct world_pickle_suite : boost::python::pickle_suite
28{
29  static
30  boost::python::tuple
31  getinitargs(world const& w)
32  {
33      return boost::python::make_tuple(w.get_country());
34  }
35};
36``
37Establishing the Python binding:
38``
39class_<world>("world", args<const std::string&>())
40      // ...
41      .def_pickle(world_pickle_suite())
42      // ...
43``
44[endsect]
45[section pickle2.cpp]
46The C++ class in this example contains member data that cannot be restored by any of the constructors. Therefore it is necessary to provide the `__getstate__`/`__setstate__` pair of pickle interface methods:
47
48Definition of the C++ pickle functions:
49``
50struct world_pickle_suite : boost::python::pickle_suite
51  {
52    static
53    boost::python::tuple
54    getinitargs(const world& w)
55    {
56      // ...
57    }
58
59    static
60    boost::python::tuple
61    getstate(const world& w)
62    {
63      // ...
64    }
65
66    static
67    void
68    setstate(world& w, boost::python::tuple state)
69    {
70      // ...
71    }
72  };
73``
74Establishing the Python bindings for the entire suite:
75``
76      class_<world>("world", args<const std::string&>())
77          // ...
78          .def_pickle(world_pickle_suite())
79          // ...
80
81``
82
83For simplicity, the `__dict__` is not included in the result of `__getstate__`. This is not generally recommended, but a valid approach if it is anticipated that the object's `__dict__` will always be empty. Note that the safety guard described below will catch the cases where this assumption is violated.
84[endsect]
85[section pickle3.cpp]
86This example is similar to pickle2.cpp. However, the object's `__dict__` is included in the result of `__getstate__`. This requires a little more code but is unavoidable if the object's `__dict__` is not always empty.
87[endsect]
88[endsect]
89[section Pitfall and Safety Guard]
90The pickle protocol described above has an important pitfall that the end user of a Boost.Python extension module might not be aware of:
91
92[*`__getstate__` is defined and the instance's `__dict__` is not empty.]
93
94The author of a `Boost.Python` extension class might provide a `__getstate__` method without considering the possibilities that:
95* his class is used in Python as a base class. Most likely the `__dict__` of instances of the derived class needs to be pickled in order to restore the instances correctly.
96* the user adds items to the instance's `__dict__` directly. Again, the `__dict__` of the instance then needs to be pickled.
97
98To alert the user to this highly unobvious problem, a safety guard is provided. If `__getstate__` is defined and the instance's `__dict__` is not empty, `Boost.Python` tests if the class has an attribute `__getstate_manages_dict__`. An exception is raised if this attribute is not defined:
99
100``
101    RuntimeError: Incomplete pickle support (__getstate_manages_dict__ not set)
102``
103
104To resolve this problem, it should first be established that the `__getstate__` and `__setstate__` methods manage the instances's `__dict__` correctly. Note that this can be done either at the C++ or the Python level. Finally, the safety guard should intentionally be overridden. E.g. in C++ (from pickle3.cpp):
105
106``
107struct world_pickle_suite : boost::python::pickle_suite
108{
109  // ...
110
111  static bool getstate_manages_dict() { return true; }
112};
113``
114
115Alternatively in Python:
116
117``
118import your_bpl_module
119class your_class(your_bpl_module.your_class):
120  __getstate_manages_dict__ = 1
121  def __getstate__(self):
122    # your code here
123  def __setstate__(self, state):
124    # your code here
125
126``
127[endsect]
128[section Practical Advice]
129
130* In `Boost.Python` extension modules with many extension classes, providing complete pickle support for all classes would be a significant overhead. In general complete pickle support should only be implemented for extension classes that will eventually be pickled.
131* Avoid using `__getstate__` if the instance can also be reconstructed by way of `__getinitargs__`. This automatically avoids the pitfall described above.
132* If `__getstate__` is required, include the instance's `__dict__` in the Python object that is returned.
133
134[endsect]
135[section Light-weight alternative: pickle support implemented in Python]
136The pickle4.cpp example demonstrates an alternative technique for implementing pickle support. First we direct Boost.Python via the class_::enable_pickling() member function to define only the basic attributes required for pickling:
137
138``
139  class_<world>("world", args<const std::string&>())
140      // ...
141      .enable_pickling()
142      // ...
143``
144This enables the standard Python pickle interface as described in the Python documentation. By "injecting" a `__getinitargs__` method into the definition of the wrapped class we make all instances pickleable:
145
146``
147  # import the wrapped world class
148  from pickle4_ext import world
149
150  # definition of __getinitargs__
151  def world_getinitargs(self):
152    return (self.get_country(),)
153
154  # now inject __getinitargs__ (Python is a dynamic language!)
155  world.__getinitargs__ = world_getinitargs
156``
157See also the tutorial section on injecting additional methods from Python.
158[endsect]
159[endsect]
160