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6cef6d5d62
fallback for objects that are neither supported by our dispatch table nor have a __copy__ or __deepcopy__ method. Changes to _reduce() in copy_reg.py to support reducing objects that don't have a __dict__ -- copy.copy(complex()) now invokes _reduce(). Add tests for copy.copy() and copy.deepcopy() to test_regrtest.py.
66 lines
1.7 KiB
Python
66 lines
1.7 KiB
Python
"""Helper to provide extensibility for pickle/cPickle.
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This is only useful to add pickle support for extension types defined in
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C, not for instances of user-defined classes.
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"""
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from types import ClassType as _ClassType
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__all__ = ["pickle","constructor"]
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dispatch_table = {}
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safe_constructors = {}
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def pickle(ob_type, pickle_function, constructor_ob=None):
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if type(ob_type) is _ClassType:
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raise TypeError("copy_reg is not intended for use with classes")
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if not callable(pickle_function):
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raise TypeError("reduction functions must be callable")
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dispatch_table[ob_type] = pickle_function
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if constructor_ob is not None:
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constructor(constructor_ob)
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def constructor(object):
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if not callable(object):
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raise TypeError("constructors must be callable")
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safe_constructors[object] = 1
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# Example: provide pickling support for complex numbers.
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def pickle_complex(c):
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return complex, (c.real, c.imag)
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pickle(type(1j), pickle_complex, complex)
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# Support for picking new-style objects
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def _reconstructor(cls, base, state):
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obj = base.__new__(cls, state)
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base.__init__(obj, state)
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return obj
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_reconstructor.__safe_for_unpickling__ = 1
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_HEAPTYPE = 1<<9
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def _reduce(self):
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for base in self.__class__.__mro__:
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if not base.__flags__ & _HEAPTYPE:
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break
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else:
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base = object # not really reachable
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if base is object:
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state = None
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else:
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state = base(self)
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args = (self.__class__, base, state)
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try:
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dict = self.__dict__
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except AttributeError:
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dict = None
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if dict:
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return _reconstructor, args, dict
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else:
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return _reconstructor, args
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