cpython/Lib/copy.py
Guido van Rossum 1325790b93 Merged revisions 55795-55816 via svnmerge from
svn+ssh://pythondev@svn.python.org/python/branches/p3yk

........
  r55797 | neal.norwitz | 2007-06-07 00:00:57 -0700 (Thu, 07 Jun 2007) | 3 lines

  Get rid of some remnants of classic classes.  types.ClassType == type.
  Also get rid of almost all uses of the types module and use the builtin name.
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  r55798 | neal.norwitz | 2007-06-07 00:12:36 -0700 (Thu, 07 Jun 2007) | 1 line

  Remove a use of types, verify commit hook works
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  r55809 | guido.van.rossum | 2007-06-07 11:11:29 -0700 (Thu, 07 Jun 2007) | 2 lines

  Fix syntax error introduced by Neal in last checkin.
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2007-06-07 23:15:56 +00:00

370 lines
9.5 KiB
Python

"""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 it 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 documentation for module
"pickle" for information on these methods.
"""
import types
from copy_reg import dispatch_table
class Error(Exception):
pass
error = Error # backward compatibility
try:
from org.python.core import PyStringMap
except ImportError:
PyStringMap = None
__all__ = ["Error", "copy", "deepcopy"]
def copy(x):
"""Shallow copy operation on arbitrary Python objects.
See the module's __doc__ string for more info.
"""
cls = type(x)
copier = _copy_dispatch.get(cls)
if copier:
return copier(x)
copier = getattr(cls, "__copy__", None)
if copier:
return copier(x)
reductor = dispatch_table.get(cls)
if reductor:
rv = reductor(x)
else:
reductor = getattr(x, "__reduce_ex__", None)
if reductor:
rv = reductor(2)
else:
reductor = getattr(x, "__reduce__", None)
if reductor:
rv = reductor()
else:
raise Error("un(shallow)copyable object of type %s" % cls)
return _reconstruct(x, rv, 0)
_copy_dispatch = d = {}
def _copy_immutable(x):
return x
for t in (type(None), int, float, bool, str, tuple,
frozenset, type, range,
types.BuiltinFunctionType,
types.FunctionType):
d[t] = _copy_immutable
t = getattr(types, "CodeType", None)
if t is not None:
d[t] = _copy_immutable
for name in ("complex", "unicode"):
t = globals()['__builtins__'].get(name)
if t is not None:
d[t] = _copy_immutable
def _copy_with_constructor(x):
return type(x)(x)
for t in (list, dict, set):
d[t] = _copy_with_constructor
def _copy_with_copy_method(x):
return x.copy()
if PyStringMap is not None:
d[PyStringMap] = _copy_with_copy_method
del d
def deepcopy(x, memo=None, _nil=[]):
"""Deep copy operation on arbitrary Python objects.
See the module's __doc__ string for more info.
"""
if memo is None:
memo = {}
d = id(x)
y = memo.get(d, _nil)
if y is not _nil:
return y
cls = type(x)
copier = _deepcopy_dispatch.get(cls)
if copier:
y = copier(x, memo)
else:
try:
issc = issubclass(cls, type)
except TypeError: # cls is not a class (old Boost; see SF #502085)
issc = 0
if issc:
y = _deepcopy_atomic(x, memo)
else:
copier = getattr(x, "__deepcopy__", None)
if copier:
y = copier(memo)
else:
reductor = dispatch_table.get(cls)
if reductor:
rv = reductor(x)
else:
reductor = getattr(x, "__reduce_ex__", None)
if reductor:
rv = reductor(2)
else:
reductor = getattr(x, "__reduce__", None)
if reductor:
rv = reductor()
else:
raise Error(
"un(deep)copyable object of type %s" % cls)
y = _reconstruct(x, rv, 1, memo)
memo[d] = y
_keep_alive(x, memo) # Make sure x lives at least as long as d
return y
_deepcopy_dispatch = d = {}
def _deepcopy_atomic(x, memo):
return x
d[type(None)] = _deepcopy_atomic
d[int] = _deepcopy_atomic
d[float] = _deepcopy_atomic
d[bool] = _deepcopy_atomic
try:
d[complex] = _deepcopy_atomic
except NameError:
pass
d[str8] = _deepcopy_atomic
d[str] = _deepcopy_atomic
try:
d[types.CodeType] = _deepcopy_atomic
except AttributeError:
pass
d[type] = _deepcopy_atomic
d[range] = _deepcopy_atomic
d[types.BuiltinFunctionType] = _deepcopy_atomic
d[types.FunctionType] = _deepcopy_atomic
def _deepcopy_list(x, memo):
y = []
memo[id(x)] = y
for a in x:
y.append(deepcopy(a, memo))
return y
d[list] = _deepcopy_list
def _deepcopy_tuple(x, memo):
y = []
for a in x:
y.append(deepcopy(a, memo))
d = id(x)
try:
return memo[d]
except KeyError:
pass
for i in range(len(x)):
if x[i] is not y[i]:
y = tuple(y)
break
else:
y = x
memo[d] = y
return y
d[tuple] = _deepcopy_tuple
def _deepcopy_dict(x, memo):
y = {}
memo[id(x)] = y
for key, value in x.items():
y[deepcopy(key, memo)] = deepcopy(value, memo)
return y
d[dict] = _deepcopy_dict
if PyStringMap is not None:
d[PyStringMap] = _deepcopy_dict
def _keep_alive(x, memo):
"""Keeps a reference to the object x in the memo.
Because we remember objects by their id, we have
to assure that possibly temporary objects are kept
alive by referencing them.
We store a reference at the id of the memo, which should
normally not be used unless someone tries to deepcopy
the memo itself...
"""
try:
memo[id(memo)].append(x)
except KeyError:
# aha, this is the first one :-)
memo[id(memo)]=[x]
def _reconstruct(x, info, deep, memo=None):
if isinstance(info, str):
return x
assert isinstance(info, tuple)
if memo is None:
memo = {}
n = len(info)
assert n in (2, 3, 4, 5)
callable, args = info[:2]
if n > 2:
state = info[2]
else:
state = {}
if n > 3:
listiter = info[3]
else:
listiter = None
if n > 4:
dictiter = info[4]
else:
dictiter = None
if deep:
args = deepcopy(args, memo)
y = callable(*args)
memo[id(x)] = y
if listiter is not None:
for item in listiter:
if deep:
item = deepcopy(item, memo)
y.append(item)
if dictiter is not None:
for key, value in dictiter:
if deep:
key = deepcopy(key, memo)
value = deepcopy(value, memo)
y[key] = value
if state:
if deep:
state = deepcopy(state, memo)
if hasattr(y, '__setstate__'):
y.__setstate__(state)
else:
if isinstance(state, tuple) and len(state) == 2:
state, slotstate = state
else:
slotstate = None
if state is not None:
y.__dict__.update(state)
if slotstate is not None:
for key, value in slotstate.items():
setattr(y, key, value)
return y
del d
del types
# Helper for instance creation without calling __init__
class _EmptyClass:
pass
def _test():
l = [None, 1, 2, 3.14, 'xyzzy', (1, 2), [3.14, 'abc'],
{'abc': 'ABC'}, (), [], {}]
l1 = copy(l)
print(l1==l)
l1 = map(copy, l)
print(l1==l)
l1 = deepcopy(l)
print(l1==l)
class C:
def __init__(self, arg=None):
self.a = 1
self.arg = arg
if __name__ == '__main__':
import sys
file = sys.argv[0]
else:
file = __file__
self.fp = open(file)
self.fp.close()
def __getstate__(self):
return {'a': self.a, 'arg': self.arg}
def __setstate__(self, state):
for key, value in state.items():
setattr(self, key, value)
def __deepcopy__(self, memo=None):
new = self.__class__(deepcopy(self.arg, memo))
new.a = self.a
return new
c = C('argument sketch')
l.append(c)
l2 = copy(l)
print(l == l2)
print(l)
print(l2)
l2 = deepcopy(l)
print(l == l2)
print(l)
print(l2)
l.append({l[1]: l, 'xyz': l[2]})
l3 = copy(l)
import repr
print(map(repr.repr, l))
print(map(repr.repr, l1))
print(map(repr.repr, l2))
print(map(repr.repr, l3))
l3 = deepcopy(l)
import repr
print(map(repr.repr, l))
print(map(repr.repr, l1))
print(map(repr.repr, l2))
print(map(repr.repr, l3))
if __name__ == '__main__':
_test()