cnpython/Lib/copy.py at cnpython · lp9102/cnpython · GitHub

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"""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

import weakref

from copyreg 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)

try:

issc = issubclass(cls, type)

except TypeError: # cls is not a class

issc = False

if issc:

# treat it as a regular class:

return _copy_immutable(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(4)

else:

reductor = getattr(x, "__reduce__", None)

if reductor:

rv = reductor()

else:

raise Error("un(shallow)copyable object of type %s" % cls)

if isinstance(rv, str):

return x

return _reconstruct(x, None, *rv)

_copy_dispatch = d = {}

def _copy_immutable(x):

return x

for t in (type(None), int, float, bool, complex, str, tuple,

bytes, frozenset, type, range, slice,

types.BuiltinFunctionType, type(Ellipsis), type(NotImplemented),

types.FunctionType, weakref.ref):

d[t] = _copy_immutable

t = getattr(types, "CodeType", None)

if t is not None:

d[t] = _copy_immutable

d[list] = list.copy

d[dict] = dict.copy

d[set] = set.copy

d[bytearray] = bytearray.copy

if PyStringMap is not None:

d[PyStringMap] = PyStringMap.copy

del d, t

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(4)

else:

reductor = getattr(x, "__reduce__", None)

if reductor:

rv = reductor()

else:

raise Error(

"un(deep)copyable object of type %s" % cls)

if isinstance(rv, str):

y = x

else:

y = _reconstruct(x, memo, *rv)

# If is its own copy, don't memoize.

if y is not x:

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[type(Ellipsis)] = _deepcopy_atomic

d[type(NotImplemented)] = _deepcopy_atomic

d[int] = _deepcopy_atomic

d[float] = _deepcopy_atomic

d[bool] = _deepcopy_atomic

d[complex] = _deepcopy_atomic

d[bytes] = _deepcopy_atomic

d[str] = _deepcopy_atomic

try:

d[types.CodeType] = _deepcopy_atomic

except AttributeError:

pass

d[type] = _deepcopy_atomic

d[types.BuiltinFunctionType] = _deepcopy_atomic

d[types.FunctionType] = _deepcopy_atomic

d[weakref.ref] = _deepcopy_atomic

def _deepcopy_list(x, memo, deepcopy=deepcopy):

y = []

memo[id(x)] = y

append = y.append

for a in x:

append(deepcopy(a, memo))

return y

d[list] = _deepcopy_list

def _deepcopy_tuple(x, memo, deepcopy=deepcopy):

y = [deepcopy(a, memo) for a in x]

# We're not going to put the tuple in the memo, but it's still important we

# check for it, in case the tuple contains recursive mutable structures.

try:

return memo[id(x)]

except KeyError:

pass

for k, j in zip(x, y):

if k is not j:

y = tuple(y)

break

else:

y = x

return y

d[tuple] = _deepcopy_tuple

def _deepcopy_dict(x, memo, deepcopy=deepcopy):

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 _deepcopy_method(x, memo): # Copy instance methods

return type(x)(x.__func__, deepcopy(x.__self__, memo))

d[types.MethodType] = _deepcopy_method

del d

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, memo, func, args,

state=None, listiter=None, dictiter=None,

deepcopy=deepcopy):

deep = memo is not None

if deep and args:

args = (deepcopy(arg, memo) for arg in args)

y = func(*args)

if deep:

memo[id(x)] = y

if state is not None:

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)

if listiter is not None:

if deep:

for item in listiter:

item = deepcopy(item, memo)

y.append(item)

else:

for item in listiter:

y.append(item)

if dictiter is not None:

if deep:

for key, value in dictiter:

key = deepcopy(key, memo)

value = deepcopy(value, memo)

y[key] = value

else:

for key, value in dictiter:

y[key] = value

return y

del types, weakref, PyStringMap

cnpython/Lib/copy.py at cnpython · lp9102/cnpython · GitHub

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