added __doc__ strings etc.

This commit is contained in:
Guido van Rossum
1995-02-09 17:18:10 +00:00
parent 6de668f3aa
commit cc6764c1ba
3 changed files with 172 additions and 49 deletions

View File

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