1098 lines
28 KiB
Python
1098 lines
28 KiB
Python
# util/_collections.py
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# Copyright (C) 2005-2019 the SQLAlchemy authors and contributors
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# <see AUTHORS file>
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#
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# This module is part of SQLAlchemy and is released under
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# the MIT License: http://www.opensource.org/licenses/mit-license.php
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"""Collection classes and helpers."""
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from __future__ import absolute_import
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import operator
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import types
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import weakref
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from .compat import binary_types
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from .compat import collections_abc
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from .compat import itertools_filterfalse
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from .compat import py2k
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from .compat import string_types
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from .compat import threading
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EMPTY_SET = frozenset()
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class AbstractKeyedTuple(tuple):
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__slots__ = ()
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def keys(self):
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"""Return a list of string key names for this :class:`.KeyedTuple`.
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.. seealso::
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:attr:`.KeyedTuple._fields`
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"""
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return list(self._fields)
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class KeyedTuple(AbstractKeyedTuple):
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"""``tuple`` subclass that adds labeled names.
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E.g.::
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>>> k = KeyedTuple([1, 2, 3], labels=["one", "two", "three"])
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>>> k.one
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1
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>>> k.two
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2
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Result rows returned by :class:`.Query` that contain multiple
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ORM entities and/or column expressions make use of this
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class to return rows.
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The :class:`.KeyedTuple` exhibits similar behavior to the
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``collections.namedtuple()`` construct provided in the Python
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standard library, however is architected very differently.
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Unlike ``collections.namedtuple()``, :class:`.KeyedTuple` is
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does not rely on creation of custom subtypes in order to represent
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a new series of keys, instead each :class:`.KeyedTuple` instance
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receives its list of keys in place. The subtype approach
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of ``collections.namedtuple()`` introduces significant complexity
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and performance overhead, which is not necessary for the
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:class:`.Query` object's use case.
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.. seealso::
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:ref:`ormtutorial_querying`
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"""
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def __new__(cls, vals, labels=None):
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t = tuple.__new__(cls, vals)
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if labels:
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t.__dict__.update(zip(labels, vals))
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else:
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labels = []
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t.__dict__["_labels"] = labels
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return t
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@property
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def _fields(self):
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"""Return a tuple of string key names for this :class:`.KeyedTuple`.
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This method provides compatibility with ``collections.namedtuple()``.
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.. seealso::
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:meth:`.KeyedTuple.keys`
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"""
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return tuple([l for l in self._labels if l is not None])
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def __setattr__(self, key, value):
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raise AttributeError("Can't set attribute: %s" % key)
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def _asdict(self):
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"""Return the contents of this :class:`.KeyedTuple` as a dictionary.
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This method provides compatibility with ``collections.namedtuple()``,
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with the exception that the dictionary returned is **not** ordered.
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"""
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return {key: self.__dict__[key] for key in self.keys()}
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class _LW(AbstractKeyedTuple):
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__slots__ = ()
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def __new__(cls, vals):
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return tuple.__new__(cls, vals)
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def __reduce__(self):
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# for pickling, degrade down to the regular
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# KeyedTuple, thus avoiding anonymous class pickling
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# difficulties
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return KeyedTuple, (list(self), self._real_fields)
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def _asdict(self):
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"""Return the contents of this :class:`.KeyedTuple` as a dictionary."""
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d = dict(zip(self._real_fields, self))
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d.pop(None, None)
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return d
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class ImmutableContainer(object):
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def _immutable(self, *arg, **kw):
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raise TypeError("%s object is immutable" % self.__class__.__name__)
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__delitem__ = __setitem__ = __setattr__ = _immutable
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class immutabledict(ImmutableContainer, dict):
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clear = pop = popitem = setdefault = update = ImmutableContainer._immutable
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def __new__(cls, *args):
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new = dict.__new__(cls)
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dict.__init__(new, *args)
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return new
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def __init__(self, *args):
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pass
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def __reduce__(self):
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return immutabledict, (dict(self),)
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def union(self, d):
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if not d:
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return self
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elif not self:
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if isinstance(d, immutabledict):
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return d
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else:
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return immutabledict(d)
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else:
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d2 = immutabledict(self)
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dict.update(d2, d)
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return d2
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def __repr__(self):
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return "immutabledict(%s)" % dict.__repr__(self)
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class Properties(object):
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"""Provide a __getattr__/__setattr__ interface over a dict."""
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__slots__ = ("_data",)
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def __init__(self, data):
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object.__setattr__(self, "_data", data)
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def __len__(self):
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return len(self._data)
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def __iter__(self):
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return iter(list(self._data.values()))
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def __dir__(self):
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return dir(super(Properties, self)) + [
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str(k) for k in self._data.keys()
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]
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def __add__(self, other):
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return list(self) + list(other)
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def __setitem__(self, key, obj):
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self._data[key] = obj
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def __getitem__(self, key):
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return self._data[key]
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def __delitem__(self, key):
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del self._data[key]
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def __setattr__(self, key, obj):
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self._data[key] = obj
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def __getstate__(self):
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return {"_data": self._data}
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def __setstate__(self, state):
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object.__setattr__(self, "_data", state["_data"])
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def __getattr__(self, key):
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try:
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return self._data[key]
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except KeyError:
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raise AttributeError(key)
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def __contains__(self, key):
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return key in self._data
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def as_immutable(self):
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"""Return an immutable proxy for this :class:`.Properties`."""
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return ImmutableProperties(self._data)
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def update(self, value):
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self._data.update(value)
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def get(self, key, default=None):
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if key in self:
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return self[key]
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else:
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return default
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def keys(self):
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return list(self._data)
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def values(self):
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return list(self._data.values())
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def items(self):
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return list(self._data.items())
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def has_key(self, key):
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return key in self._data
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def clear(self):
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self._data.clear()
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class OrderedProperties(Properties):
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"""Provide a __getattr__/__setattr__ interface with an OrderedDict
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as backing store."""
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__slots__ = ()
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def __init__(self):
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Properties.__init__(self, OrderedDict())
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class ImmutableProperties(ImmutableContainer, Properties):
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"""Provide immutable dict/object attribute to an underlying dictionary."""
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__slots__ = ()
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class OrderedDict(dict):
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"""A dict that returns keys/values/items in the order they were added."""
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__slots__ = ("_list",)
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def __reduce__(self):
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return OrderedDict, (self.items(),)
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def __init__(self, ____sequence=None, **kwargs):
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self._list = []
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if ____sequence is None:
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if kwargs:
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self.update(**kwargs)
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else:
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self.update(____sequence, **kwargs)
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def clear(self):
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self._list = []
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dict.clear(self)
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def copy(self):
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return self.__copy__()
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def __copy__(self):
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return OrderedDict(self)
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def sort(self, *arg, **kw):
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self._list.sort(*arg, **kw)
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def update(self, ____sequence=None, **kwargs):
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if ____sequence is not None:
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if hasattr(____sequence, "keys"):
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for key in ____sequence.keys():
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self.__setitem__(key, ____sequence[key])
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else:
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for key, value in ____sequence:
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self[key] = value
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if kwargs:
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self.update(kwargs)
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def setdefault(self, key, value):
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if key not in self:
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self.__setitem__(key, value)
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return value
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else:
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return self.__getitem__(key)
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def __iter__(self):
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return iter(self._list)
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def keys(self):
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return list(self)
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def values(self):
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return [self[key] for key in self._list]
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def items(self):
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return [(key, self[key]) for key in self._list]
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if py2k:
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def itervalues(self):
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return iter(self.values())
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def iterkeys(self):
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return iter(self)
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def iteritems(self):
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return iter(self.items())
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def __setitem__(self, key, obj):
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if key not in self:
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try:
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self._list.append(key)
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except AttributeError:
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# work around Python pickle loads() with
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# dict subclass (seems to ignore __setstate__?)
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self._list = [key]
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dict.__setitem__(self, key, obj)
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def __delitem__(self, key):
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dict.__delitem__(self, key)
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self._list.remove(key)
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def pop(self, key, *default):
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present = key in self
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value = dict.pop(self, key, *default)
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if present:
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self._list.remove(key)
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return value
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def popitem(self):
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item = dict.popitem(self)
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self._list.remove(item[0])
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return item
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class OrderedSet(set):
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def __init__(self, d=None):
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set.__init__(self)
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self._list = []
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if d is not None:
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self._list = unique_list(d)
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set.update(self, self._list)
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else:
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self._list = []
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def add(self, element):
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if element not in self:
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self._list.append(element)
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set.add(self, element)
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def remove(self, element):
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set.remove(self, element)
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self._list.remove(element)
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def insert(self, pos, element):
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if element not in self:
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self._list.insert(pos, element)
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set.add(self, element)
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def discard(self, element):
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if element in self:
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self._list.remove(element)
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set.remove(self, element)
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def clear(self):
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set.clear(self)
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self._list = []
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def __getitem__(self, key):
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return self._list[key]
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def __iter__(self):
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return iter(self._list)
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def __add__(self, other):
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return self.union(other)
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def __repr__(self):
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return "%s(%r)" % (self.__class__.__name__, self._list)
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__str__ = __repr__
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def update(self, iterable):
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for e in iterable:
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if e not in self:
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self._list.append(e)
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set.add(self, e)
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return self
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__ior__ = update
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def union(self, other):
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result = self.__class__(self)
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result.update(other)
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return result
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__or__ = union
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def intersection(self, other):
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other = set(other)
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return self.__class__(a for a in self if a in other)
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__and__ = intersection
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def symmetric_difference(self, other):
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other = set(other)
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result = self.__class__(a for a in self if a not in other)
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result.update(a for a in other if a not in self)
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return result
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__xor__ = symmetric_difference
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def difference(self, other):
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other = set(other)
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return self.__class__(a for a in self if a not in other)
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__sub__ = difference
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def intersection_update(self, other):
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other = set(other)
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set.intersection_update(self, other)
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self._list = [a for a in self._list if a in other]
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return self
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__iand__ = intersection_update
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def symmetric_difference_update(self, other):
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set.symmetric_difference_update(self, other)
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self._list = [a for a in self._list if a in self]
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self._list += [a for a in other._list if a in self]
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return self
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__ixor__ = symmetric_difference_update
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def difference_update(self, other):
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set.difference_update(self, other)
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self._list = [a for a in self._list if a in self]
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return self
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__isub__ = difference_update
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class IdentitySet(object):
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"""A set that considers only object id() for uniqueness.
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This strategy has edge cases for builtin types- it's possible to have
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two 'foo' strings in one of these sets, for example. Use sparingly.
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"""
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_working_set = set
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def __init__(self, iterable=None):
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self._members = dict()
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if iterable:
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for o in iterable:
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self.add(o)
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def add(self, value):
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self._members[id(value)] = value
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def __contains__(self, value):
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return id(value) in self._members
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def remove(self, value):
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del self._members[id(value)]
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def discard(self, value):
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try:
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self.remove(value)
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except KeyError:
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pass
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def pop(self):
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try:
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pair = self._members.popitem()
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return pair[1]
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except KeyError:
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raise KeyError("pop from an empty set")
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def clear(self):
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self._members.clear()
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def __cmp__(self, other):
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raise TypeError("cannot compare sets using cmp()")
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def __eq__(self, other):
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if isinstance(other, IdentitySet):
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return self._members == other._members
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else:
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return False
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def __ne__(self, other):
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if isinstance(other, IdentitySet):
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return self._members != other._members
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else:
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return True
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def issubset(self, iterable):
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other = type(self)(iterable)
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if len(self) > len(other):
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return False
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for m in itertools_filterfalse(
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other._members.__contains__, iter(self._members.keys())
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):
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return False
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return True
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def __le__(self, other):
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if not isinstance(other, IdentitySet):
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return NotImplemented
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return self.issubset(other)
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def __lt__(self, other):
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if not isinstance(other, IdentitySet):
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return NotImplemented
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return len(self) < len(other) and self.issubset(other)
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def issuperset(self, iterable):
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other = type(self)(iterable)
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if len(self) < len(other):
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return False
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for m in itertools_filterfalse(
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self._members.__contains__, iter(other._members.keys())
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):
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return False
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return True
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def __ge__(self, other):
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if not isinstance(other, IdentitySet):
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return NotImplemented
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return self.issuperset(other)
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def __gt__(self, other):
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if not isinstance(other, IdentitySet):
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return NotImplemented
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return len(self) > len(other) and self.issuperset(other)
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def union(self, iterable):
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result = type(self)()
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# testlib.pragma exempt:__hash__
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members = self._member_id_tuples()
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other = _iter_id(iterable)
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result._members.update(self._working_set(members).union(other))
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return result
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def __or__(self, other):
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if not isinstance(other, IdentitySet):
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return NotImplemented
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return self.union(other)
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def update(self, iterable):
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self._members = self.union(iterable)._members
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def __ior__(self, other):
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if not isinstance(other, IdentitySet):
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return NotImplemented
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self.update(other)
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return self
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def difference(self, iterable):
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result = type(self)()
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# testlib.pragma exempt:__hash__
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members = self._member_id_tuples()
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other = _iter_id(iterable)
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result._members.update(self._working_set(members).difference(other))
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return result
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|
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def __sub__(self, other):
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if not isinstance(other, IdentitySet):
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return NotImplemented
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return self.difference(other)
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def difference_update(self, iterable):
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self._members = self.difference(iterable)._members
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def __isub__(self, other):
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if not isinstance(other, IdentitySet):
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return NotImplemented
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self.difference_update(other)
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return self
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def intersection(self, iterable):
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result = type(self)()
|
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# testlib.pragma exempt:__hash__
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members = self._member_id_tuples()
|
|
other = _iter_id(iterable)
|
|
result._members.update(self._working_set(members).intersection(other))
|
|
return result
|
|
|
|
def __and__(self, other):
|
|
if not isinstance(other, IdentitySet):
|
|
return NotImplemented
|
|
return self.intersection(other)
|
|
|
|
def intersection_update(self, iterable):
|
|
self._members = self.intersection(iterable)._members
|
|
|
|
def __iand__(self, other):
|
|
if not isinstance(other, IdentitySet):
|
|
return NotImplemented
|
|
self.intersection_update(other)
|
|
return self
|
|
|
|
def symmetric_difference(self, iterable):
|
|
result = type(self)()
|
|
# testlib.pragma exempt:__hash__
|
|
members = self._member_id_tuples()
|
|
other = _iter_id(iterable)
|
|
result._members.update(
|
|
self._working_set(members).symmetric_difference(other)
|
|
)
|
|
return result
|
|
|
|
def _member_id_tuples(self):
|
|
return ((id(v), v) for v in self._members.values())
|
|
|
|
def __xor__(self, other):
|
|
if not isinstance(other, IdentitySet):
|
|
return NotImplemented
|
|
return self.symmetric_difference(other)
|
|
|
|
def symmetric_difference_update(self, iterable):
|
|
self._members = self.symmetric_difference(iterable)._members
|
|
|
|
def __ixor__(self, other):
|
|
if not isinstance(other, IdentitySet):
|
|
return NotImplemented
|
|
self.symmetric_difference(other)
|
|
return self
|
|
|
|
def copy(self):
|
|
return type(self)(iter(self._members.values()))
|
|
|
|
__copy__ = copy
|
|
|
|
def __len__(self):
|
|
return len(self._members)
|
|
|
|
def __iter__(self):
|
|
return iter(self._members.values())
|
|
|
|
def __hash__(self):
|
|
raise TypeError("set objects are unhashable")
|
|
|
|
def __repr__(self):
|
|
return "%s(%r)" % (type(self).__name__, list(self._members.values()))
|
|
|
|
|
|
class WeakSequence(object):
|
|
def __init__(self, __elements=()):
|
|
self._storage = [
|
|
weakref.ref(element, self._remove) for element in __elements
|
|
]
|
|
|
|
def append(self, item):
|
|
self._storage.append(weakref.ref(item, self._remove))
|
|
|
|
def _remove(self, ref):
|
|
self._storage.remove(ref)
|
|
|
|
def __len__(self):
|
|
return len(self._storage)
|
|
|
|
def __iter__(self):
|
|
return (
|
|
obj for obj in (ref() for ref in self._storage) if obj is not None
|
|
)
|
|
|
|
def __getitem__(self, index):
|
|
try:
|
|
obj = self._storage[index]
|
|
except KeyError:
|
|
raise IndexError("Index %s out of range" % index)
|
|
else:
|
|
return obj()
|
|
|
|
|
|
class OrderedIdentitySet(IdentitySet):
|
|
class _working_set(OrderedSet):
|
|
# a testing pragma: exempt the OIDS working set from the test suite's
|
|
# "never call the user's __hash__" assertions. this is a big hammer,
|
|
# but it's safe here: IDS operates on (id, instance) tuples in the
|
|
# working set.
|
|
__sa_hash_exempt__ = True
|
|
|
|
def __init__(self, iterable=None):
|
|
IdentitySet.__init__(self)
|
|
self._members = OrderedDict()
|
|
if iterable:
|
|
for o in iterable:
|
|
self.add(o)
|
|
|
|
|
|
class PopulateDict(dict):
|
|
"""A dict which populates missing values via a creation function.
|
|
|
|
Note the creation function takes a key, unlike
|
|
collections.defaultdict.
|
|
|
|
"""
|
|
|
|
def __init__(self, creator):
|
|
self.creator = creator
|
|
|
|
def __missing__(self, key):
|
|
self[key] = val = self.creator(key)
|
|
return val
|
|
|
|
|
|
# Define collections that are capable of storing
|
|
# ColumnElement objects as hashable keys/elements.
|
|
# At this point, these are mostly historical, things
|
|
# used to be more complicated.
|
|
column_set = set
|
|
column_dict = dict
|
|
ordered_column_set = OrderedSet
|
|
populate_column_dict = PopulateDict
|
|
|
|
|
|
_getters = PopulateDict(operator.itemgetter)
|
|
|
|
_property_getters = PopulateDict(
|
|
lambda idx: property(operator.itemgetter(idx))
|
|
)
|
|
|
|
|
|
def unique_list(seq, hashfunc=None):
|
|
seen = set()
|
|
seen_add = seen.add
|
|
if not hashfunc:
|
|
return [x for x in seq if x not in seen and not seen_add(x)]
|
|
else:
|
|
return [
|
|
x
|
|
for x in seq
|
|
if hashfunc(x) not in seen and not seen_add(hashfunc(x))
|
|
]
|
|
|
|
|
|
class UniqueAppender(object):
|
|
"""Appends items to a collection ensuring uniqueness.
|
|
|
|
Additional appends() of the same object are ignored. Membership is
|
|
determined by identity (``is a``) not equality (``==``).
|
|
"""
|
|
|
|
def __init__(self, data, via=None):
|
|
self.data = data
|
|
self._unique = {}
|
|
if via:
|
|
self._data_appender = getattr(data, via)
|
|
elif hasattr(data, "append"):
|
|
self._data_appender = data.append
|
|
elif hasattr(data, "add"):
|
|
self._data_appender = data.add
|
|
|
|
def append(self, item):
|
|
id_ = id(item)
|
|
if id_ not in self._unique:
|
|
self._data_appender(item)
|
|
self._unique[id_] = True
|
|
|
|
def __iter__(self):
|
|
return iter(self.data)
|
|
|
|
|
|
def coerce_generator_arg(arg):
|
|
if len(arg) == 1 and isinstance(arg[0], types.GeneratorType):
|
|
return list(arg[0])
|
|
else:
|
|
return arg
|
|
|
|
|
|
def to_list(x, default=None):
|
|
if x is None:
|
|
return default
|
|
if not isinstance(x, collections_abc.Iterable) or isinstance(
|
|
x, string_types + binary_types
|
|
):
|
|
return [x]
|
|
elif isinstance(x, list):
|
|
return x
|
|
else:
|
|
return list(x)
|
|
|
|
|
|
def has_intersection(set_, iterable):
|
|
r"""return True if any items of set\_ are present in iterable.
|
|
|
|
Goes through special effort to ensure __hash__ is not called
|
|
on items in iterable that don't support it.
|
|
|
|
"""
|
|
# TODO: optimize, write in C, etc.
|
|
return bool(set_.intersection([i for i in iterable if i.__hash__]))
|
|
|
|
|
|
def to_set(x):
|
|
if x is None:
|
|
return set()
|
|
if not isinstance(x, set):
|
|
return set(to_list(x))
|
|
else:
|
|
return x
|
|
|
|
|
|
def to_column_set(x):
|
|
if x is None:
|
|
return column_set()
|
|
if not isinstance(x, column_set):
|
|
return column_set(to_list(x))
|
|
else:
|
|
return x
|
|
|
|
|
|
def update_copy(d, _new=None, **kw):
|
|
"""Copy the given dict and update with the given values."""
|
|
|
|
d = d.copy()
|
|
if _new:
|
|
d.update(_new)
|
|
d.update(**kw)
|
|
return d
|
|
|
|
|
|
def flatten_iterator(x):
|
|
"""Given an iterator of which further sub-elements may also be
|
|
iterators, flatten the sub-elements into a single iterator.
|
|
|
|
"""
|
|
for elem in x:
|
|
if not isinstance(elem, str) and hasattr(elem, "__iter__"):
|
|
for y in flatten_iterator(elem):
|
|
yield y
|
|
else:
|
|
yield elem
|
|
|
|
|
|
class LRUCache(dict):
|
|
"""Dictionary with 'squishy' removal of least
|
|
recently used items.
|
|
|
|
Note that either get() or [] should be used here, but
|
|
generally its not safe to do an "in" check first as the dictionary
|
|
can change subsequent to that call.
|
|
|
|
"""
|
|
|
|
__slots__ = "capacity", "threshold", "size_alert", "_counter", "_mutex"
|
|
|
|
def __init__(self, capacity=100, threshold=0.5, size_alert=None):
|
|
self.capacity = capacity
|
|
self.threshold = threshold
|
|
self.size_alert = size_alert
|
|
self._counter = 0
|
|
self._mutex = threading.Lock()
|
|
|
|
def _inc_counter(self):
|
|
self._counter += 1
|
|
return self._counter
|
|
|
|
def get(self, key, default=None):
|
|
item = dict.get(self, key, default)
|
|
if item is not default:
|
|
item[2] = self._inc_counter()
|
|
return item[1]
|
|
else:
|
|
return default
|
|
|
|
def __getitem__(self, key):
|
|
item = dict.__getitem__(self, key)
|
|
item[2] = self._inc_counter()
|
|
return item[1]
|
|
|
|
def values(self):
|
|
return [i[1] for i in dict.values(self)]
|
|
|
|
def setdefault(self, key, value):
|
|
if key in self:
|
|
return self[key]
|
|
else:
|
|
self[key] = value
|
|
return value
|
|
|
|
def __setitem__(self, key, value):
|
|
item = dict.get(self, key)
|
|
if item is None:
|
|
item = [key, value, self._inc_counter()]
|
|
dict.__setitem__(self, key, item)
|
|
else:
|
|
item[1] = value
|
|
self._manage_size()
|
|
|
|
@property
|
|
def size_threshold(self):
|
|
return self.capacity + self.capacity * self.threshold
|
|
|
|
def _manage_size(self):
|
|
if not self._mutex.acquire(False):
|
|
return
|
|
try:
|
|
size_alert = bool(self.size_alert)
|
|
while len(self) > self.capacity + self.capacity * self.threshold:
|
|
if size_alert:
|
|
size_alert = False
|
|
self.size_alert(self)
|
|
by_counter = sorted(
|
|
dict.values(self), key=operator.itemgetter(2), reverse=True
|
|
)
|
|
for item in by_counter[self.capacity :]:
|
|
try:
|
|
del self[item[0]]
|
|
except KeyError:
|
|
# deleted elsewhere; skip
|
|
continue
|
|
finally:
|
|
self._mutex.release()
|
|
|
|
|
|
_lw_tuples = LRUCache(100)
|
|
|
|
|
|
def lightweight_named_tuple(name, fields):
|
|
hash_ = (name,) + tuple(fields)
|
|
tp_cls = _lw_tuples.get(hash_)
|
|
if tp_cls:
|
|
return tp_cls
|
|
|
|
tp_cls = type(
|
|
name,
|
|
(_LW,),
|
|
dict(
|
|
[
|
|
(field, _property_getters[idx])
|
|
for idx, field in enumerate(fields)
|
|
if field is not None
|
|
]
|
|
+ [("__slots__", ())]
|
|
),
|
|
)
|
|
|
|
tp_cls._real_fields = fields
|
|
tp_cls._fields = tuple([f for f in fields if f is not None])
|
|
|
|
_lw_tuples[hash_] = tp_cls
|
|
return tp_cls
|
|
|
|
|
|
class ScopedRegistry(object):
|
|
"""A Registry that can store one or multiple instances of a single
|
|
class on the basis of a "scope" function.
|
|
|
|
The object implements ``__call__`` as the "getter", so by
|
|
calling ``myregistry()`` the contained object is returned
|
|
for the current scope.
|
|
|
|
:param createfunc:
|
|
a callable that returns a new object to be placed in the registry
|
|
|
|
:param scopefunc:
|
|
a callable that will return a key to store/retrieve an object.
|
|
"""
|
|
|
|
def __init__(self, createfunc, scopefunc):
|
|
"""Construct a new :class:`.ScopedRegistry`.
|
|
|
|
:param createfunc: A creation function that will generate
|
|
a new value for the current scope, if none is present.
|
|
|
|
:param scopefunc: A function that returns a hashable
|
|
token representing the current scope (such as, current
|
|
thread identifier).
|
|
|
|
"""
|
|
self.createfunc = createfunc
|
|
self.scopefunc = scopefunc
|
|
self.registry = {}
|
|
|
|
def __call__(self):
|
|
key = self.scopefunc()
|
|
try:
|
|
return self.registry[key]
|
|
except KeyError:
|
|
return self.registry.setdefault(key, self.createfunc())
|
|
|
|
def has(self):
|
|
"""Return True if an object is present in the current scope."""
|
|
|
|
return self.scopefunc() in self.registry
|
|
|
|
def set(self, obj):
|
|
"""Set the value for the current scope."""
|
|
|
|
self.registry[self.scopefunc()] = obj
|
|
|
|
def clear(self):
|
|
"""Clear the current scope, if any."""
|
|
|
|
try:
|
|
del self.registry[self.scopefunc()]
|
|
except KeyError:
|
|
pass
|
|
|
|
|
|
class ThreadLocalRegistry(ScopedRegistry):
|
|
"""A :class:`.ScopedRegistry` that uses a ``threading.local()``
|
|
variable for storage.
|
|
|
|
"""
|
|
|
|
def __init__(self, createfunc):
|
|
self.createfunc = createfunc
|
|
self.registry = threading.local()
|
|
|
|
def __call__(self):
|
|
try:
|
|
return self.registry.value
|
|
except AttributeError:
|
|
val = self.registry.value = self.createfunc()
|
|
return val
|
|
|
|
def has(self):
|
|
return hasattr(self.registry, "value")
|
|
|
|
def set(self, obj):
|
|
self.registry.value = obj
|
|
|
|
def clear(self):
|
|
try:
|
|
del self.registry.value
|
|
except AttributeError:
|
|
pass
|
|
|
|
|
|
def _iter_id(iterable):
|
|
"""Generator: ((id(o), o) for o in iterable)."""
|
|
|
|
for item in iterable:
|
|
yield id(item), item
|
|
|
|
|
|
def has_dupes(sequence, target):
|
|
"""Given a sequence and search object, return True if there's more
|
|
than one, False if zero or one of them.
|
|
|
|
|
|
"""
|
|
# compare to .index version below, this version introduces less function
|
|
# overhead and is usually the same speed. At 15000 items (way bigger than
|
|
# a relationship-bound collection in memory usually is) it begins to
|
|
# fall behind the other version only by microseconds.
|
|
c = 0
|
|
for item in sequence:
|
|
if item is target:
|
|
c += 1
|
|
if c > 1:
|
|
return True
|
|
return False
|
|
|
|
|
|
# .index version. the two __contains__ calls as well
|
|
# as .index() and isinstance() slow this down.
|
|
# def has_dupes(sequence, target):
|
|
# if target not in sequence:
|
|
# return False
|
|
# elif not isinstance(sequence, collections_abc.Sequence):
|
|
# return False
|
|
#
|
|
# idx = sequence.index(target)
|
|
# return target in sequence[idx + 1:]
|