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Gains a 5:1 speed-up for membership testing by handling the most common case first (the case where the element is hashable). Closes SF Patch 597444.
551 lines
17 KiB
Python
551 lines
17 KiB
Python
"""Classes to represent arbitrary sets (including sets of sets).
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This module implements sets using dictionaries whose values are
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ignored. The usual operations (union, intersection, deletion, etc.)
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are provided as both methods and operators.
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Important: sets are not sequences! While they support 'x in s',
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'len(s)', and 'for x in s', none of those operations are unique for
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sequences; for example, mappings support all three as well. The
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characteristic operation for sequences is subscripting with small
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integers: s[i], for i in range(len(s)). Sets don't support
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subscripting at all. Also, sequences allow multiple occurrences and
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their elements have a definite order; sets on the other hand don't
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record multiple occurrences and don't remember the order of element
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insertion (which is why they don't support s[i]).
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The following classes are provided:
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BaseSet -- All the operations common to both mutable and immutable
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sets. This is an abstract class, not meant to be directly
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instantiated.
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Set -- Mutable sets, subclass of BaseSet; not hashable.
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ImmutableSet -- Immutable sets, subclass of BaseSet; hashable.
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An iterable argument is mandatory to create an ImmutableSet.
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_TemporarilyImmutableSet -- Not a subclass of BaseSet: just a wrapper
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around a Set, hashable, giving the same hash value as the
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immutable set equivalent would have. Do not use this class
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directly.
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Only hashable objects can be added to a Set. In particular, you cannot
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really add a Set as an element to another Set; if you try, what is
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actually added is an ImmutableSet built from it (it compares equal to
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the one you tried adding).
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When you ask if `x in y' where x is a Set and y is a Set or
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ImmutableSet, x is wrapped into a _TemporarilyImmutableSet z, and
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what's tested is actually `z in y'.
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"""
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# Code history:
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#
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# - Greg V. Wilson wrote the first version, using a different approach
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# to the mutable/immutable problem, and inheriting from dict.
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#
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# - Alex Martelli modified Greg's version to implement the current
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# Set/ImmutableSet approach, and make the data an attribute.
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#
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# - Guido van Rossum rewrote much of the code, made some API changes,
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# and cleaned up the docstrings.
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__all__ = ['BaseSet', 'Set', 'ImmutableSet']
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class BaseSet(object):
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"""Common base class for mutable and immutable sets."""
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__slots__ = ['_data']
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# Constructor
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def __init__(self):
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"""This is an abstract class."""
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# Don't call this from a concrete subclass!
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if self.__class__ is BaseSet:
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raise NotImplementedError, ("BaseSet is an abstract class. "
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"Use Set or ImmutableSet.")
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# Standard protocols: __len__, __repr__, __str__, __iter__
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def __len__(self):
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"""Return the number of elements of a set."""
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return len(self._data)
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def __repr__(self):
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"""Return string representation of a set.
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This looks like 'Set([<list of elements>])'.
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"""
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return self._repr()
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# __str__ is the same as __repr__
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__str__ = __repr__
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def _repr(self, sorted=False):
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elements = self._data.keys()
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if sorted:
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elements.sort()
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return '%s(%r)' % (self.__class__.__name__, elements)
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def __iter__(self):
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"""Return an iterator over the elements or a set.
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This is the keys iterator for the underlying dict.
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"""
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return self._data.iterkeys()
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# Comparisons. Ordering is determined by the ordering of the
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# underlying dicts (which is consistent though unpredictable).
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def __lt__(self, other):
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self._binary_sanity_check(other)
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return self._data < other._data
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def __le__(self, other):
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self._binary_sanity_check(other)
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return self._data <= other._data
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def __eq__(self, other):
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self._binary_sanity_check(other)
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return self._data == other._data
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def __ne__(self, other):
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self._binary_sanity_check(other)
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return self._data != other._data
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def __gt__(self, other):
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self._binary_sanity_check(other)
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return self._data > other._data
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def __ge__(self, other):
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self._binary_sanity_check(other)
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return self._data >= other._data
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# Copying operations
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def copy(self):
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"""Return a shallow copy of a set."""
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return self.__class__(self)
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__copy__ = copy # For the copy module
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def __deepcopy__(self, memo):
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"""Return a deep copy of a set; used by copy module."""
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# This pre-creates the result and inserts it in the memo
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# early, in case the deep copy recurses into another reference
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# to this same set. A set can't be an element of itself, but
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# it can certainly contain an object that has a reference to
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# itself.
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from copy import deepcopy
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result = self.__class__([])
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memo[id(self)] = result
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data = result._data
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value = True
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for elt in self:
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data[deepcopy(elt, memo)] = value
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return result
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# Standard set operations: union, intersection, both differences
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def union(self, other):
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"""Return the union of two sets as a new set.
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(I.e. all elements that are in either set.)
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"""
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self._binary_sanity_check(other)
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result = self.__class__(self._data)
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result._data.update(other._data)
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return result
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__or__ = union
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def intersection(self, other):
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"""Return the intersection of two sets as a new set.
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(I.e. all elements that are in both sets.)
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"""
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self._binary_sanity_check(other)
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if len(self) <= len(other):
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little, big = self, other
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else:
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little, big = other, self
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result = self.__class__([])
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data = result._data
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value = True
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for elt in little:
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if elt in big:
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data[elt] = value
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return result
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__and__ = intersection
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def symmetric_difference(self, other):
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"""Return the symmetric difference of two sets as a new set.
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(I.e. all elements that are in exactly one of the sets.)
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"""
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self._binary_sanity_check(other)
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result = self.__class__([])
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data = result._data
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value = True
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for elt in self:
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if elt not in other:
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data[elt] = value
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for elt in other:
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if elt not in self:
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data[elt] = value
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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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"""Return the difference of two sets as a new Set.
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(I.e. all elements that are in this set and not in the other.)
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"""
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self._binary_sanity_check(other)
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result = self.__class__([])
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data = result._data
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value = True
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for elt in self:
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if elt not in other:
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data[elt] = value
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return result
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__sub__ = difference
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# Membership test
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def __contains__(self, element):
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"""Report whether an element is a member of a set.
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(Called in response to the expression `element in self'.)
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"""
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try:
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return element in self._data
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except TypeError:
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transform = getattr(element, "_as_temporary_immutable", None)
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if transform is None:
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raise # re-raise the TypeError exception we caught
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return transform() in self._data
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# Subset and superset test
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def issubset(self, other):
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"""Report whether another set contains this set."""
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self._binary_sanity_check(other)
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for elt in self:
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if elt not in other:
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return False
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return True
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def issuperset(self, other):
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"""Report whether this set contains another set."""
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self._binary_sanity_check(other)
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for elt in other:
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if elt not in self:
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return False
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return True
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# Assorted helpers
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def _binary_sanity_check(self, other):
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# Check that the other argument to a binary operation is also
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# a set, raising a TypeError otherwise.
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if not isinstance(other, BaseSet):
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raise TypeError, "Binary operation only permitted between sets"
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def _compute_hash(self):
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# Calculate hash code for a set by xor'ing the hash codes of
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# the elements. This algorithm ensures that the hash code
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# does not depend on the order in which elements are added to
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# the code. This is not called __hash__ because a BaseSet
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# should not be hashable; only an ImmutableSet is hashable.
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result = 0
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for elt in self:
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result ^= hash(elt)
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return result
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class ImmutableSet(BaseSet):
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"""Immutable set class."""
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__slots__ = ['_hashcode']
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# BaseSet + hashing
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def __init__(self, seq):
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"""Construct an immutable set from a sequence."""
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self._hashcode = None
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self._data = data = {}
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# I don't know a faster way to do this in pure Python.
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# Custom code written in C only did it 65% faster,
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# preallocating the dict to len(seq); without
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# preallocation it was only 25% faster. So the speed of
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# this Python code is respectable. Just copying True into
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# a local variable is responsible for a 7-8% speedup.
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value = True
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# XXX Should this perhaps look for _as_immutable?
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# XXX If so, should use self.update(seq).
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for key in seq:
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data[key] = value
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def __hash__(self):
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if self._hashcode is None:
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self._hashcode = self._compute_hash()
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return self._hashcode
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class Set(BaseSet):
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""" Mutable set class."""
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__slots__ = []
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# BaseSet + operations requiring mutability; no hashing
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def __init__(self, seq=None):
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"""Construct an immutable set from a sequence."""
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self._data = data = {}
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if seq is not None:
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value = True
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# XXX Should this perhaps look for _as_immutable?
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# XXX If so, should use self.update(seq).
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for key in seq:
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data[key] = value
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# In-place union, intersection, differences
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def union_update(self, other):
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"""Update a set with the union of itself and another."""
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self._binary_sanity_check(other)
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self._data.update(other._data)
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return self
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__ior__ = union_update
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def intersection_update(self, other):
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"""Update a set with the intersection of itself and another."""
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self._binary_sanity_check(other)
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for elt in self._data.keys():
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if elt not in other:
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del self._data[elt]
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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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"""Update a set with the symmetric difference of itself and another."""
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self._binary_sanity_check(other)
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data = self._data
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value = True
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for elt in other:
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if elt in data:
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del data[elt]
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else:
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data[elt] = value
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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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"""Remove all elements of another set from this set."""
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self._binary_sanity_check(other)
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data = self._data
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for elt in other:
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if elt in data:
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del data[elt]
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return self
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__isub__ = difference_update
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# Python dict-like mass mutations: update, clear
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def update(self, iterable):
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"""Add all values from an iterable (such as a list or file)."""
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data = self._data
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value = True
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for element in iterable:
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try:
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data[element] = value
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except TypeError:
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transform = getattr(element, "_as_temporary_immutable", None)
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if transform is None:
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raise # re-raise the TypeError exception we caught
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data[transform()] = value
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def clear(self):
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"""Remove all elements from this set."""
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self._data.clear()
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# Single-element mutations: add, remove, discard
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def add(self, element):
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"""Add an element to a set.
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This has no effect if the element is already present.
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"""
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try:
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self._data[element] = True
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except TypeError:
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transform = getattr(element, "_as_temporary_immutable", None)
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if transform is None:
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raise # re-raise the TypeError exception we caught
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self._data[transform()] = True
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def remove(self, element):
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"""Remove an element from a set; it must be a member.
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If the element is not a member, raise a KeyError.
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"""
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try:
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del self._data[element]
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except TypeError:
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transform = getattr(element, "_as_temporary_immutable", None)
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if transform is None:
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raise # re-raise the TypeError exception we caught
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del self._data[transform()]
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def discard(self, element):
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"""Remove an element from a set if it is a member.
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If the element is not a member, do nothing.
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"""
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try:
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del self._data[element]
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except KeyError:
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pass
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def pop(self):
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"""Remove and return a randomly-chosen set element."""
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return self._data.popitem()[0]
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def _as_immutable(self):
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# Return a copy of self as an immutable set
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return ImmutableSet(self)
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def _as_temporarily_immutable(self):
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# Return self wrapped in a temporarily immutable set
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return _TemporarilyImmutableSet(self)
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class _TemporarilyImmutableSet(object):
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# Wrap a mutable set as if it was temporarily immutable.
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# This only supplies hashing and equality comparisons.
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_hashcode = None
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def __init__(self, set):
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self._set = set
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def __hash__(self):
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if self._hashcode is None:
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self._hashcode = self._set._compute_hash()
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return self._hashcode
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def __eq__(self, other):
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return self._set == other
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def __ne__(self, other):
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return self._set != other
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# Rudimentary self-tests
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def _test():
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# Empty set
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red = Set()
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assert `red` == "Set([])", "Empty set: %s" % `red`
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# Unit set
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green = Set((0,))
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assert `green` == "Set([0])", "Unit set: %s" % `green`
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# 3-element set
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blue = Set([0, 1, 2])
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assert blue._repr(True) == "Set([0, 1, 2])", "3-element set: %s" % `blue`
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# 2-element set with other values
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black = Set([0, 5])
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assert black._repr(True) == "Set([0, 5])", "2-element set: %s" % `black`
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# All elements from all sets
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white = Set([0, 1, 2, 5])
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assert white._repr(True) == "Set([0, 1, 2, 5])", "4-element set: %s" % `white`
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# Add element to empty set
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red.add(9)
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assert `red` == "Set([9])", "Add to empty set: %s" % `red`
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# Remove element from unit set
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red.remove(9)
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assert `red` == "Set([])", "Remove from unit set: %s" % `red`
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# Remove element from empty set
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try:
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red.remove(0)
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assert 0, "Remove element from empty set: %s" % `red`
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except LookupError:
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pass
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# Length
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assert len(red) == 0, "Length of empty set"
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assert len(green) == 1, "Length of unit set"
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assert len(blue) == 3, "Length of 3-element set"
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# Compare
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assert green == Set([0]), "Equality failed"
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assert green != Set([1]), "Inequality failed"
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# Union
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assert blue | red == blue, "Union non-empty with empty"
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assert red | blue == blue, "Union empty with non-empty"
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assert green | blue == blue, "Union non-empty with non-empty"
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assert blue | black == white, "Enclosing union"
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# Intersection
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assert blue & red == red, "Intersect non-empty with empty"
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assert red & blue == red, "Intersect empty with non-empty"
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assert green & blue == green, "Intersect non-empty with non-empty"
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assert blue & black == green, "Enclosing intersection"
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# Symmetric difference
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assert red ^ green == green, "Empty symdiff non-empty"
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assert green ^ blue == Set([1, 2]), "Non-empty symdiff"
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assert white ^ white == red, "Self symdiff"
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# Difference
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assert red - green == red, "Empty - non-empty"
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assert blue - red == blue, "Non-empty - empty"
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assert white - black == Set([1, 2]), "Non-empty - non-empty"
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# In-place union
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orange = Set([])
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orange |= Set([1])
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assert orange == Set([1]), "In-place union"
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# In-place intersection
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orange = Set([1, 2])
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orange &= Set([2])
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assert orange == Set([2]), "In-place intersection"
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# In-place difference
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orange = Set([1, 2, 3])
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orange -= Set([2, 4])
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assert orange == Set([1, 3]), "In-place difference"
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# In-place symmetric difference
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orange = Set([1, 2, 3])
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orange ^= Set([3, 4])
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assert orange == Set([1, 2, 4]), "In-place symmetric difference"
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print "All tests passed"
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if __name__ == "__main__":
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_test()
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