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authorAlexSm <alex@ydb.tech>2024-03-05 10:40:59 +0100
committerGitHub <noreply@github.com>2024-03-05 12:40:59 +0300
commit1ac13c847b5358faba44dbb638a828e24369467b (patch)
tree07672b4dd3604ad3dee540a02c6494cb7d10dc3d /contrib/tools/python3/Lib/copy.py
parentffcca3e7f7958ddc6487b91d3df8c01054bd0638 (diff)
downloadydb-1ac13c847b5358faba44dbb638a828e24369467b.tar.gz
Library import 16 (#2433)
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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 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
+
+__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)
+
+ if issubclass(cls, type):
+ # treat it as a regular class:
+ return _copy_immutable(x)
+
+ copier = getattr(cls, "__copy__", None)
+ if copier is not None:
+ return copier(x)
+
+ reductor = dispatch_table.get(cls)
+ if reductor is not None:
+ rv = reductor(x)
+ else:
+ reductor = getattr(x, "__reduce_ex__", None)
+ if reductor is not None:
+ 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 (types.NoneType, int, float, bool, complex, str, tuple,
+ bytes, frozenset, type, range, slice, property,
+ types.BuiltinFunctionType, types.EllipsisType,
+ types.NotImplementedType, types.FunctionType, types.CodeType,
+ weakref.ref):
+ d[t] = _copy_immutable
+
+d[list] = list.copy
+d[dict] = dict.copy
+d[set] = set.copy
+d[bytearray] = bytearray.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 is not None:
+ y = copier(x, memo)
+ else:
+ if issubclass(cls, type):
+ y = _deepcopy_atomic(x, memo)
+ else:
+ copier = getattr(x, "__deepcopy__", None)
+ if copier is not None:
+ y = copier(memo)
+ else:
+ reductor = dispatch_table.get(cls)
+ if reductor:
+ rv = reductor(x)
+ else:
+ reductor = getattr(x, "__reduce_ex__", None)
+ if reductor is not None:
+ 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[types.NoneType] = _deepcopy_atomic
+d[types.EllipsisType] = _deepcopy_atomic
+d[types.NotImplementedType] = _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
+d[types.CodeType] = _deepcopy_atomic
+d[type] = _deepcopy_atomic
+d[range] = _deepcopy_atomic
+d[types.BuiltinFunctionType] = _deepcopy_atomic
+d[types.FunctionType] = _deepcopy_atomic
+d[weakref.ref] = _deepcopy_atomic
+d[property] = _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
+
+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