added __doc__ strings etc.
This commit is contained in:
98
Lib/copy.py
98
Lib/copy.py
@@ -1,49 +1,73 @@
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# Generic (shallow and deep) copying operations
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# =============================================
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#
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# The difference between shallow and deep copying is only relevant for
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# compound objects (objects that contain other objects, like lists or class
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# instances).
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#
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# - A shallow copy constructs a new compound object and then (to the extent
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# possible) inserts *the same objects* into in that the original contains.
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#
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# - A deep copy constructs a new compound object and then, recursively,
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# inserts *copies* into it of the objects found in the original.
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#
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# Two problems often exist with deep copy operations that don't exist with
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# shallow copy operations:
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#
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# (a) recursive objects (compound objects that, directly or indirectly,
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# contain a reference to themselves) may cause a recursive loop
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#
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# (b) because deep copy copies *everything* it may copy too much, e.g.
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# administrative data structures that should be shared even between copies
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#
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# Python's deep copy operation avoids these problems by:
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#
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# (a) keeping a table of objects already copied during the current copying pass
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#
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# (b) letting user-defined classes override the copying operation or the set
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# of components copied
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#
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# This version does not copy types like module, class, function, method,
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# nor stack trace, stack frame, nor file, socket, window, nor array,
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# nor any similar types.
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"""\
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Generic (shallow and deep) copying operations
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=============================================
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Interface summary:
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import copy
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x = copy.copy(y) # make a shallow copy of y
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x = copy.deepcopy(y) # make a deep copy of y
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For module specific errors, copy.Error is raised.
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The difference between shallow and deep copying is only relevant for
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compound objects (objects that contain other objects, like lists or
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class instances).
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- A shallow copy constructs a new compound object and then (to the
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extent possible) inserts *the same objects* into in that the
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original contains.
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- A deep copy constructs a new compound object and then, recursively,
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inserts *copies* into it of the objects found in the original.
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Two problems often exist with deep copy operations that don't exist
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with shallow copy operations:
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(a) recursive objects (compound objects that, directly or indirectly,
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contain a reference to themselves) may cause a recursive loop
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(b) because deep copy copies *everything* it may copy too much, e.g.
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administrative data structures that should be shared even between
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copies
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Python's deep copy operation avoids these problems by:
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(a) keeping a table of objects already copied during the current
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copying pass
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(b) letting user-defined classes override the copying operation or the
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set of components copied
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This version does not copy types like module, class, function, method,
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nor stack trace, stack frame, nor file, socket, window, nor array, nor
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any similar types.
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Classes can use the same interfaces to control copying that they use
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to control pickling: they can define methods called __getinitargs__(),
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__getstate__() and __setstate__(). See the __doc__ string of module
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"pickle" for information on these methods.
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"""
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import types
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Error = 'copy.Error'
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def copy(x):
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"""Shallow copy operation on arbitrary Python objects.
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See the module's __doc__ string for more info.
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"""
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try:
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copierfunction = _copy_dispatch[type(x)]
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except KeyError:
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try:
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copier = x.__copy__
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except AttributeError:
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raise Error, "un(shallow)copyable object of type %s" % type(x)
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raise Error, \
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"un(shallow)copyable object of type %s" % type(x)
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y = copier()
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else:
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y = copierfunction(x)
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@@ -100,6 +124,11 @@ d[types.InstanceType] = _copy_inst
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del d
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def deepcopy(x, memo = None):
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"""Deep copy operation on arbitrary Python objects.
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See the module's __doc__ string for more info.
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"""
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if memo is None:
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memo = {}
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d = id(x)
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@@ -111,7 +140,8 @@ def deepcopy(x, memo = None):
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try:
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copier = x.__deepcopy__
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except AttributeError:
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raise Error, "un-deep-copyable object of type %s" % type(x)
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raise Error, \
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"un-deep-copyable object of type %s" % type(x)
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y = copier(memo)
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else:
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y = copierfunction(x, memo)
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