FM / python3.3

/opt/alt/python33/lib64/python3.3

Name	Size	Mode	Actions
collections/	-	0755	rm
concurrent/	-	0755	rm
config-3.3m/	-	0755	rm
ctypes/	-	0755	rm
curses/	-	0755	rm
dbm/	-	0755	rm
distutils/	-	0755	rm
email/	-	0755	rm
encodings/	-	0755	rm
html/	-	0755	rm
http/	-	0755	rm
idlelib/	-	0755	rm
importlib/	-	0755	rm
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lib-dynload/	-	0755	rm
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logging/	-	0755	rm
multiprocessing/	-	0755	rm
plat-linux/	-	0755	rm
pydoc_data/	-	0755	rm
site-packages/	-	0755	rm
sqlite3/	-	0755	rm
test/	-	0755	rm
unittest/	-	0755	rm
urllib/	-	0755	rm
venv/	-	0755	rm
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xml/	-	0755	rm
xmlrpc/	-	0755	rm
__pycache__/	-	0755	rm
abc.py	8057	0644	edit dl rm
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argparse.py	89069	0644	edit dl rm
ast.py	12142	0644	edit dl rm
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binhex.py	13708	0644	edit dl rm
bisect.py	2595	0644	edit dl rm
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calendar.py	22940	0644	edit dl rm
cgi.py	35554	0755	edit dl rm
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cmd.py	14860	0644	edit dl rm
code.py	10030	0644	edit dl rm
codecs.py	35956	0644	edit dl rm
codeop.py	5994	0644	edit dl rm
colorsys.py	3691	0644	edit dl rm
compileall.py	9743	0644	edit dl rm
configparser.py	49437	0644	edit dl rm
contextlib.py	9125	0644	edit dl rm
copy.py	8991	0644	edit dl rm
copyreg.py	6611	0644	edit dl rm
cProfile.py	6361	0755	edit dl rm
crypt.py	1879	0644	edit dl rm
csv.py	16185	0644	edit dl rm
datetime.py	74954	0644	edit dl rm
decimal.py	228558	0644	edit dl rm
difflib.py	82519	0644	edit dl rm
dis.py	10134	0644	edit dl rm
doctest.py	102933	0644	edit dl rm
dummy_threading.py	2815	0644	edit dl rm
filecmp.py	9597	0644	edit dl rm
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fractions.py	23033	0644	edit dl rm
ftplib.py	40253	0644	edit dl rm
functools.py	13596	0644	edit dl rm
genericpath.py	3093	0644	edit dl rm
getopt.py	7488	0644	edit dl rm
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ipaddress.py	70303	0644	edit dl rm
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linecache.py	3864	0644	edit dl rm
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numbers.py	10398	0644	edit dl rm
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pickle.py	47858	0644	edit dl rm
pickletools.py	81349	0644	edit dl rm
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pkgutil.py	21539	0644	edit dl rm
platform.py	50742	0755	edit dl rm
plistlib.py	14777	0644	edit dl rm
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profile.py	21448	0755	edit dl rm
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pydoc.py	101644	0755	edit dl rm
py_compile.py	6717	0644	edit dl rm
queue.py	8835	0644	edit dl rm
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random.py	25660	0644	edit dl rm
re.py	14973	0644	edit dl rm
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rlcompleter.py	5526	0644	edit dl rm
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sched.py	6399	0644	edit dl rm
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sndhdr.py	6219	0644	edit dl rm
socket.py	14913	0644	edit dl rm
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sysconfig.py	25174	0644	edit dl rm
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tarfile.py	88864	0755	edit dl rm
telnetlib.py	27349	0644	edit dl rm
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this.py	1003	0644	edit dl rm
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token.py	3034	0644	edit dl rm
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types.py	3167	0644	edit dl rm
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uuid.py	22349	0644	edit dl rm
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wave.py	18579	0644	edit dl rm
weakref.py	11495	0644	edit dl rm
webbrowser.py	22913	0755	edit dl rm
xdrlib.py	5381	0644	edit dl rm
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__future__.py	4584	0644	edit dl rm
__phello__.foo.py	64	0644	edit dl rm

Edit: /opt/alt/python33/lib64/python3.3/copy.py (8991B)

"""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
import builtins

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(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,
          bytes, frozenset, type, range,
          types.BuiltinFunctionType, type(Ellipsis),
          types.FunctionType, weakref.ref):
    d[t] = _copy_immutable
t = getattr(types, "CodeType", None)
if t is not None:
    d[t] = _copy_immutable
for name in ("complex", "unicode"):
    t = getattr(builtins, name, None)
    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)

# 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[int] = _deepcopy_atomic
d[float] = _deepcopy_atomic
d[bool] = _deepcopy_atomic
try:
    d[complex] = _deepcopy_atomic
except NameError:
    pass
d[bytes] = _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
d[weakref.ref] = _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))
    # 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 i in range(len(x)):
        if x[i] is not y[i]:
            y = tuple(y)
            break
    else:
        y = x
    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 _deepcopy_method(x, memo): # Copy instance methods
    return type(x)(x.__func__, deepcopy(x.__self__, memo))
_deepcopy_dispatch[types.MethodType] = _deepcopy_method

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 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)

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
    return y

del d

del types

# Helper for instance creation without calling __init__
class _EmptyClass:
    pass

cmd: